Showing posts sorted by date for query SOPHIA ROBOT. Sort by relevance Show all posts
Showing posts sorted by date for query SOPHIA ROBOT. Sort by relevance Show all posts

Friday, August 07, 2026

Ukraine’s Missile Shield Cracks: Is The War Entering Its End Game? – Analysis

Aftermath of Russian missile strike in Ukraine. Photo Credit: Ukraine Emergency Services, @SESU_UA, X

By Patial RC

Key Takeaways:

Ukraine’s recent failure to intercept any ballistic missiles (despite destroying nearly 100 drones) highlights growing shortages of advanced interceptors and the effectiveness of Russia’s saturation air campaign.

The war is increasingly a contest of industrial capacity, demography and endurance, with Europe now carrying the main burden of support as U.S. assistance declines.

These structural pressures suggest the conflict is entering a decisive phase in which political calculations and the search for a negotiated settlement may gradually outweigh pure battlefield outcomes.


The daily devastating Russian missile strike on Kyiv that leave several dead and dozens injured may well be remembered as more than another tragic chapter in the Russia-Ukrainian War. For the first time in recent months, Ukraine acknowledged that it had failed to intercept a single ballistic missile launched during the assault, despite successfully destroying nearly one hundred attacking drones. The incident has revived an increasingly important strategic question: Has the war entered its end game or is it a ruse to force Ukraine into a serious peace dialogue?

The answer is neither simple nor absolute. One night’s inability to intercept ballistic missiles does not determine the outcome of a conflict that has stretched over four-and-a-half years. Yet it does illuminate deeper military, political and economic realities that are reshaping the battlefield. Behind the spectacular explosions over Kyiv lies a far more consequential struggle—one involving industrial capacity, demographic endurance, alliance politics and strategic patience.

The Changing Character of Russia’s Air Campaign

Russia’s military strategy has evolved considerably since the early months of the invasion in 2022. Initial expectations of a rapid victory gave way to a grinding war of attrition. Today, Moscow relies increasingly on overwhelming combinations of drones, cruise missiles and high-speed ballistic missiles designed to saturate Ukraine’s air-defence network.

The latest attack demonstrated the effectiveness of this approach. Ukrainian air defences reportedly destroyed ninety-eight of the 115 drones launched overnight but failed to intercept any of the ballistic missiles. The distinction is crucial. Slow-moving drones can usually be tracked and engaged by multiple layers of air defence. Ballistic missiles, however, descend at hypersonic speeds, leaving defenders with only seconds to react. Only a handful of advanced systems, notably the American Patriot, have consistently demonstrated the capability to intercept such weapons.

President Zelensky was quick to attribute the failure to dwindling stocks of interceptor missiles. He stated that deliveries of air-defence missiles from Ukraine’s partners had fallen dramatically compared with the previous year, underscoring Kyiv’s growing dependence on continued Western military assistance.

Air Defence: More Than a Military Asset

Air defence is often viewed purely in military terms, but its strategic importance extends much further. Every successful interception protects civilian lives, preserves critical infrastructure, maintains economic activity and strengthens public morale. Every missile that penetrates these defences imposes costs far beyond the immediate physical damage.

Russia understands this dynamic well. Rather than attempting to overwhelm Ukraine solely through ground offensives, Moscow appears increasingly focused on exhausting Ukraine’s limited inventory of expensive interceptor missiles. Each successful strike not only damages infrastructure but also forces Kyiv to expend scarce defensive resources. It is a classic war of attrition in which economics becomes as important as battlefield tactics.

The recent attack therefore represents more than a temporary operational setback. It raises legitimate questions about whether Ukraine can sustain its defensive posture if advanced interceptor supplies continue to decline.

The Emerging Burden on Europe

Perhaps the most significant strategic shift of 2026 has been the changing balance of international support.During the early years of the conflict, the United States was the principal supplier of advanced military equipment, intelligence and financial assistance. More recently, however, the burden has increasingly shifted towards NATO members. European countries are now providing the overwhelming share of military and financial assistance, with Germany emerging as the principal supporter. The Trump administration has sharply curtailed new military assistance to Ukraine, leaving Europe as Kyiv’s main source of financial and military support.The US interests have shifted to deal with Iran.

This transition has important implications. European Union countries face slowing economies, budgetary pressures and increasingly divided domestic political opinion regarding continued support for Ukraine. While political leaders remain committed to Kyiv’s defence, sustaining high levels of military assistance indefinitely presents growing challenges.

If interceptor missiles, advanced radar systems and long-range precision weapons become increasingly difficult to replace, Ukraine’s military position could gradually weaken regardless of the determination of its dwindling armed forces.

Zelensky Meets Trump


Reviving Russian Peace Talks. Ukrainian President Zelensky met with his United States counterpart Donald Trump at the White House on 28 Jul 2026. Discussions included plans for reviving Russian peace talks.However, diplomatic efforts have slowed recently as Washington focused on other foreign policy priorities.

Ukraine to produce Patriot missile interceptors. A joint production venture. Earlier Trump had agreed to allow Ukraine to jointly produce Patriot air defence interceptors, a crucial component of the country’s defence against Russian aerial attacks. A US official told Reuters that the most feasible option for Patriots would be making some components in Ukraine and assembling them in Germany, where an older Patriot model is already made and the more advanced PAC-3 is expected to be produced as well. Trump has now raised security concerns about handing over highly secretive Patriot blueprints in their entirety to Ukraine. US and Ukraine are also moving closer to a deal on joint drone production, which could help the US catch up with Ukraine in an important military technology.Ukraine is on track to produce six to seven million short-range attack drones this year, while the Pentagon’s $1.1bn production programme is expected to have ordered nearly 200,000 drones by February 2027.Ukraine has proven adept at producing large volumes of dramatically cheaper yet equally or more effective missiles and drones compared with those made by western allies.

The Demographic Reality

Military historians have long argued that wars of attrition are ultimately decided not by tactical brilliance but by structural endurance.Ukraine’s population under government control has fallen dramatically, reducing the pool of available military manpower while simultaneously shrinking the country’s economic and industrial base.

Demography is rarely discussed in daily battlefield reports, yet it remains one of the most decisive elements of prolonged warfare. A smaller working-age population means fewer soldiers, lower tax revenues, reduced industrial production and greater dependence on foreign assistance.

Russia also faces demographic challenges of its own, but its significantly larger population provides greater strategic depth in a prolonged conflict.Manpower and economic resilience will heavily influence the ultimate outcome of the war.
Ukraine’s Deep Strikes: Tactical Success or Strategic Solution?

Despite increasing defensive challenges, Ukraine has demonstrated extraordinary innovation in offensive operations. Long-range drones have repeatedly penetrated deep into Russian territory, striking airfields, fuel depots, logistics centres and industrial facilities.

These operations have imposed real costs on Russia. They have forced Moscow to disperse strategic assets, strengthen homeland air defences and absorb repeated attacks on military infrastructure.

Nevertheless, these operations are tactically impressive but cannot by themselves alter the overall strategic balance. Infrastructure can often be repaired or rebuilt, whereas territorial control and sustained military pressure require manpower, logistics and industrial capacity.

The Political Dimension

No modern war is fought solely on the battlefield.Political resolve in Washington, Brussels, Berlin, Moscow and Kyiv may ultimately prove more decisive than developments along the front lines.

Much attention now centres on President Donald Trump’s administration and its future policy towards Ukraine. Speculation continues regarding whether Washington will seek a negotiated settlement or maintain selective military assistance while encouraging diplomacy.

At present, however, there is no publicly confirmed “Trump card” capable of ending the conflict overnight. Any eventual settlement will almost certainly require difficult compromises, extensive negotiations and political willingness from all parties involved.

History suggests that wars of attrition rarely end through total military victory. More often, they conclude when the economic, political and human costs become unacceptable for one or both sides.
Is This Truly the End Game?

The phrase “End Game” should be used with caution.The inability to intercept a single night’s ballistic missile barrage does not mean Ukraine is on the verge of collapse. Ukrainian forces continue to demonstrate resilience, innovation and the ability to impose significant costs on Russian military infrastructure.

At the same time, the recent attacks highlight undeniable structural pressures: declining stocks of advanced interceptor missiles, growing dependence on European assistance, manpower shortages and the enormous economic burden of prolonged warfare.

These factors suggest that the conflict may indeed be entering a decisive strategic phase—not necessarily one of imminent military defeat for either side, but one in which political calculations could gradually overshadow battlefield operations.

Both warring nations face near demographic exhaustion, diminishing American military assistance for Ukraine and mounting European fatigue make some form of negotiated settlement increasingly probable by the end of 2026. Whether that prediction proves correct remains uncertain, but it deserves serious consideration as one possible trajectory rather than a predetermined outcome.

Conclusion

Ukraine’s inability to intercept Russia’s latest ballistic missile barrage should be viewed as a warning signal rather than a definitive verdict. It exposes NATO vulnerabilities that cannot be ignored but does not, by itself, determine the outcome of the war.

The future of the Russia-Ukrainian conflict will depend less on any single missile strike and more on the broader contest of national endurance—industrial production, demographic resilience, economic sustainability and political determination.

History teaches that wars are rarely decided by dramatic moments alone. “Wars are not won merely by capturing territory or destroying cities. They are ultimately decided by a nation’s ability to sustain the fight.”They end when strategic realities compel political decisions. There appears to be No strategy to end this war of attrition early either by President Putin or President Zelensky. Whether that moment has finally arrived for Zelensky remains one of the defining geopolitical questions of our time.


About Patial RC


Patial RC is a retired Infantry officer of the Indian Army and possesses unique experience of serving in active CI Ops across the country and in Sri Lanka. Patial RC is a regular writer on military and travel matters in military professional journals. The veteran is a keen mountaineer and a trekker.
View all posts by Patial RC →



Military shake-up poses little threat to Ukraine's ongoing drone revolution

A Ukrainian drone of the K-2 brigade targets a military Russian car while flying over occupied territory, 20 June, 2026
Copyright AP Photo

By Gavin Blackburn
Published on


Ukraine has built a sprawling drone industry from scratch, hailed by President Volodymyr Zelenskyy as the best in the world.

Zigzagging between robots, weapons and computers in his garage workshop, Ukrainian engineer Eduard Trotsenko was bubbling with excitement as he showed off his latest prototypes and dreamed of sci-fi-inspired futuristic ideas.

Top of his ideas list are "mechanical birds" that can land on high-voltage power lines and recharge themselves, and "robot dogs" that can be sent into battle.

"In order to save human lives, to save soldiers, there must be robots," Trotsenko told the AFP news agency.

Autonomous weapons have come to dominate the war with Russia.

Aerial drones are used on the front lines for reconnaissance and to drop explosives, while down below ground robots support logistics operations.

Ukraine has built a sprawling drone industry from scratch, hailed by President Volodymyr Zelenskyy as the best in the world.

Soldiers from Ukraine's Khartia brigade load ammunition onto a combat ground drone bound for the front line in Kharkiv region, 27 January, 2026 AP Photo

But the dismissal last month of popular defence minister Mykhailo Fedorov, one of the most ardent backers of drones, raised some concerns over the future of the sector.

"I don't understand why they sacked Fedorov," Trotsenko, the founder and CEO of robot manufacturer Temerland, said.

Despite his removal, industry players and military personnel AFP spoke to said there was no going back now.

"The young people there won't let it go. There'll definitely be drones," Trotsenko said.

Into the kill zone

When Russia launched its full-scale invasion of Ukraine in 2022, 55-year-old Trotsenko switched from making car charging stations to military robots.

His speciality is ground drones: autonomous vehicles that crawl the "kill zone," the kilometres-deep stretch of territory where Russian and Ukrainian drones lurk in the skies, posing a constant danger to anybody below.

For now, they mainly help evacuate wounded soldiers from the battlefield or ferry supplies, reducing the need to send more men into the kill zone.

But Trotsenko is looking at combat prototypes: one equipped with an RPG rocket launcher, the other with a heavy machine gun, controlled by onboard artificial intelligence (AI).

Ukraine's former Defence Minister Mykhailo Fedorov speaks in Kyiv, 1 July, 2026 AP Photo


"They're currently being tested in some brigades," said Trotsenko, who is awaiting a green light for further rollout by the General Staff.

Fedorov had been crucial to pushing the technological shift within Ukraine's army.

He created the Defence AI Center A1, a hub dedicated to embedding AI in the military and using live feedback from the front to speed up the deployment of new technology.

Fedorov also pushed to bring private companies into the military system, putting competition at the heart of the army's innovation.

"In a private company, you can take risks more quickly," said Trotsenko, explaining how small companies were incentivised to modify and adapt at speed to win contracts.

'Bottom-up'

Hundreds of kilometres away, a 45-year-old military commander who goes by the call sign "Jason", was just back from a mission.

He heads a unit that operates the kind of ground drones that Trotsenko develops in his garage.

"You can afford to lose a drone, but not a person. The probability of human losses there is reduced," he told AFP.

That kind of mantra, using drones to save lives, was precisely what Fedorov had been pushing at the defence ministry.

Soldiers from Ukraine's Khartia brigade operate drones from the Kharkiv region, 30 February, 2026 AP Photo

After he was sacked, protestors forced out the Soviet-style commander-in-chief, Oleksandr Syrsky, who had clashed with Fedorov's reform drive, criticising him for not embracing drones and being too careless with soldiers' lives.

Asked whether Fedorov's removal could upset Ukraine's drone development, Jason brushes it off.

"It's not that simple...the technological initiative was not flowing from the top down. It wasn't a government order," he said.

After Russia invaded, "there was an explosion of bottom-up initiative."

Young engineers began to create new products, showed them to the military, who took what they wanted and then started their own development, he said.

Now, programmers, telecoms specialists and engineers are fully integrated into the army.

Jason said "the shortage of professionally trained people" is the biggest challenge he faces.

Back in Trotsenko's workshop, his engineers are already working to redefine the technological and geographical limits of war.

On a whiteboard, he sketched out his vision of the future: conflicts fought by "humanoid robots", controlled by operators in another country, or wounded soldiers lying in hospital beds.

"Things have really taken off," he said confidently.



ANALYSIS


Why has Ukraine's former military chief given up on NATO membership?

The former chief of Ukraine's armed forces, Valery Zaluzhny, says his country, fighting Russian invasion since 2022, will "never" join NATO – despite Kyiv's intention to become a member of the military alliance. While some analysts suggest Zaluzhny is primarily seeking to highlight the alliance’s weaknesses, others say he is laying the groundwork for a presidential bid.



Issued on: 05/08/2026 - RFI

Valery Zaluzhny, former commander-in-chief of the Ukrainian Armed Forces and current Ukrainian ambassador to the United Kingdom, in Kyiv, 5 February, 2025. AP - Efrem Lukatsky


"I know NATO very well. For roughly 12 years I've personally worked on mastering NATO standards, and every year I've listened to the same fairytale that we're about to join," Zaluzhny said at a meeting of Kyiv's ambassadors on Monday.

"Unfortunately, we never will," he added, in comments quoted by Ukrainian news site European Pravda.

Zaluzhny, a popular figure, was sacked as commander-in-chief by Ukrainian President Volodymyr Zelensky in February 2024, and is now the Ukrainian ambassador to the United Kingdom.

He said that "given the current level of development of the Ukrainian Armed Forces" it was impossible for Ukraine to join the alliance which, according to Zaluzhny, "adheres to doctrines dating from the Second World War".

Ukraine prides itself on its military industrial progress, particularly in drone technology, which it has developed extensively since Russia invaded the country in February 2022.
Official line

His statement stands in stark contrast to Kyiv's official line, whereby NATO membership remains a strategic objective enshrined in the Ukrainian constitution.

Political scientist Olexiy Haran says he is "surprised" by the former army chief’s comments.

"It is still Ukraine’s official objective, and I think it will remain so," he told RFI, adding that Ukrainians are nonetheless frustrated by the current situation with regards to membership.

"They are no longer certain that membership will materialise, but it remains their goal and they will do everything in their power to join NATO."

According to a poll published in April, nearly 69 per cent of Ukrainians are in favour of NATO membership.

Ruslan Bortnik, an expert on Ukrainian politics, echoed Haran's surprise. "It contradicts Ukraine’s official line. And it is very strange to hear such a statement from an ambassador appointed by the Ukrainian government," he told RFI.
Reliance on allies

For Haran, Zaluzhny’s comments could reflect his personal disappointment following years of cooperation with NATO – but could also be intended to serve as a wake-up call for Ukraine's Western allies.

"Perhaps he simply wanted to draw attention to the reality of the situation," he said. "If you cannot guarantee our security within NATO, if you are not even prepared to discuss it, then do what is actually necessary today to defend Ukraine. The West is doing a great deal and we appreciate it, but it is not enough."

In an opinion piece for UK newspaper The Daily Telegraph published last month, Zaluzhny said the war in Ukraine had "exposed uncomfortable questions about whether NATO is equipped for the conflicts of the 21st century".

Pointing out that "Ukraine's ability to sustain the war depends heavily upon continued backing from its allies", Zaluzhny acknowledged the importance of that support, but added that he believes the experience gained by the Ukrainian army now puts it ahead of several Western countries.

"Ukraine has every reason to appreciate the support NATO members have provided, and continues to provide. But respect for the alliance should not prevent an honest assessment of its shortcomings," Zaluzhny wrote.

Bortnik also posits that Zaluzhny is attempting to "put pressure on NATO" in order to draw its attention to Ukraine’s needs and secure further military and financial support.

Ukraine’s wartime unity put to the test by protests over military leadership


Political long game

Bortnik also puts forward a more political hypothesis: by declaring NATO membership impossible, Zaluzhny could be seeking to align his position with that of United States President Donald Trump's administration, which opposes Ukraine’s accession to NATO in the near future.

This, he argues, could be a way of making himself more "acceptable" in Washington’s eyes ahead of possible peace negotiations with Russia.

Zaluzhny is frequently portrayed as a potential rival to Zelensky in Ukraine's next presidential election. And according to several Ukrainian media outlets, a June poll showed 73 percent of the public had confidence in him.

Haran remains cautious, however, regarding this interpretation.

As long as Ukraine is at war and under martial law, no presidential election can be held, and there is no indication that a campaign is imminent, making it difficult, he believes, to establish a direct link between Zaluzhny's statement and a future candidacy.

For Bortnik, however, it could enable Zaluzhny to begin building an international profile: that of a figure capable of engaging with Washington and, in the long term, of taking part in a negotiated settlement of the conflict.
'New security architecture'

Zaluzhny believes Kyiv will need to align itself with the new blocs and alliances emerging in Europe.

He cites the Joint Expeditionary Force (JEF) as a potentially effective mechanism. Led by the UK, it brings together 10 countries – Denmark, Estonia, Finland, Iceland, Latvia, Lithuania, the Netherlands, Norway, Sweden and the UK itself.

This coalition operates outside NATO’s structures and focuses on strategic regions such as the Baltic, the North Sea, the Arctic and the North Atlantic.

Since November 2025, Ukraine has been its first external "enhanced partner". This status gives it access to intelligence sharing, joint exercises and regional planning. In return, Kyiv contributes its frontline experience, particularly with hybrid attacks, drones and long-range strikes.

However, Ukrainian media outlets have been quick to warn that the JEF provides for neither automatic collective defence, nor an obligation of mutual assistance comparable to Article 5 of the NATO Treaty.

Ukraine marks four years of conflict, as losses rise with no end in sight

Bortnik sees these discussions as a sign of a broader realignment.

“We are witnessing numerous attempts to create a new security architecture in Eastern Europe," he said. "There are ideas for smaller coalitions, bringing together European countries and the United Kingdom. Perhaps the aim is to create something new, complementary and specifically tailored to the Ukrainian crisis."

Zaluzhny’s statement remains a personal view and does not represent the position of the Ukrainian government. However, it has succeeded in raising questions over the future of Ukraine’s bid to join NATO, the search for alternative security guarantees, and the positioning of potential contenders to succeed Zelensky.

This article has been adapted from the original version in French by Sophia Khatsenkova.


Fears of wheat price surge amid Ukraine-Russia clashes in the Black Sea

Issued on: 31/07/2026 - 

PODCAST
INTERNATIONAL REPORT
Play - 05:31


Intensifying clashes between Ukraine and Russia in the Black Sea are threatening a crucial trade artery responsible for nearly a third of the world's wheat supply, stoking fears of soaring prices and shortages.

Smoke rises from the grain carrier Golden Leo after Russian missile strike in the Black Sea close to Odesa, Ukraine, 19 July 2026. © AP Photo/Michael Shtekel

Earlier in July, a Russian cruise missile struck the grain carrier Golden Leo, claiming ten lives. This marked the deadliest blow yet in a mounting campaign by both Russian and Ukrainian forces targeting cargo ships in the Black Sea and the Sea of Azov.

"This is a new development in recent months," claims shipping analyst Yoruk Isik, who runs the Istanbul-based Bosphorus Observer consultancy. Isik warns that cargo vessels are caught in a deadly tit-for-tat.

"Ukraine has been targeting Russian seaborne bulkers in particular, the ones transporting stolen grain from the occupied territories of Ukraine," explains Isik, "Russia retaliated and hit Ukraine's civilian port infrastructure in Odesa; a mid-sized vessel carrying corn out of Odesa was totally sunk, other vessels were damaged, and sailors died," he adds.

Turkey’s Shipowners’ Association, having logged 136 incidents involving commercial vessels in recent months, is now urging its members to avoid the Black Sea altogether.

Beyond its role as a key channel for Russian oil, the Black Sea is a lifeline for global grain exports, with Russia and Ukraine among the top suppliers.

"It is very important to note that most of Russia's agricultural commodities are exported through the Black Sea, and that almost all of Ukraine's agricultural commodities are shipped via Ukraine's ports," warns Isik.
Bad timing for harvest

Around a third of the world's wheat moves through these waters. The surge in attacks across the Black Sea and the neighbouring Sea of Azov has brought exports to a near standstill.

"No port is officially closed, but almost no shipowner wants to go there, so trade is close to zero," claims Istanbul-based international grain dealer Can Atbasoglu. "Sellers want buyers to handle the vessels, and buyers want sellers to handle the vessels, but shipowners don't want to risk it."

This deadlock arrives at the worst possible moment: harvest time. "Normally, Russian sellers would have sold all their August cargoes by now; I don't know if anybody has any sales on their books at present," says Atbasoglu.

Turkey agrees deal to clear Black Sea of mines that threaten Ukrainian exports

Wheat prices are already reacting. "The price in Romania is, say, 20-25 percent higher – that's the clearest effect we're seeing. But everybody is waiting for some kind of intervention, and soon," adds Atbasoglu.

Turkey now leads a NATO mission, along with Bulgaria and Romania, to safeguard navigation in the Black Sea. However, former Turkish ambassador and navigation rights expert Mithat Rende believes Ankara will be wary of any effort to enforce passage for commercial ships. "It's very important that the Ukrainian war should not be transformed into a regional war," cautions Rende.

"Where would it stop? Would you fire missiles and intercept Russian missiles in the Black Sea? They (Russia) already accuse all of us of fighting Russia as NATO. It's very important to avoid such operations," he adds.

Full impact yet to be felt

Rende argues Ankara’s priority is diplomacy, having played a pivotal role in brokering the 2022 United Nations-backed grain export deal after Russian forces blocked Ukrainian shipments. "Turkey maintained a dialogue with both the Russian and the Ukrainian sides at the same time," says Rende, "But is there political will for a ceasefire now? I don't see it at present."

Grain trader Atbasoglu warns the full impact of the disruption is not yet reflected in prices. "Buyers are still not fully reacting. It's seen more as an August, or at the latest a September issue, and the markets still want to believe both sides will get together and talk," he says.

However, Atbasoglu cautions that time may be running out. "In 2022, Ukraine was completely closed off, and there was a major panic. We saw the effect: wheat prices jumped 50 percent in 2022, and we could expect something similar if this continues," he concludes.

Africa and the Middle East, which are heavily reliant on Black Sea grain, are beginning to seek pricier alternatives. Europe, too, may soon feel the strain, as drought-hit wheat harvests threaten to push global food prices even higher.

By:  Dorian Jones


Thursday, July 02, 2026

SPACE/COSMOS

Rocket Lab to Buy Iridium for $8 Billion

Iridium
Press handout courtesy Iridium

Published Jun 30, 2026 11:00 PM by The Maritime Executive



Iridium, the high-uptime LEO satcom operator, will soon be acquired by launch services company Rocket Lab, the two firms announced Monday. The $8 billion deal will create a vertically integrated rocket-plus-satcom company, comparable in structure to the core businesses of SpaceX/Starlink. 

Rocket Lab plans to pay each Iridium shareholder $27 per share in cash, plus new shares of Rocket Lab to bring the total near to about $54 per share. The deal should close in mid-2027, once shareholder approvals are received. 

"As the worlds of space and terrestrial communications continue to converge, more critical services will depend on space-based capabilities," said Iridium's CEO, Matt Desch. "Success will come from those who can bring new innovations to space quickly and sustain them over time as efficiently as possible."

Iridium is a well-established and well-known service provider for shipping, one of the company's core markets. It has been in operation since 1998, and is an authorized provider of GMDSS satellite emergency messaging. Its new network also supports resilient positioning, navigation and timing, performing functions comparable to GPS. Iridium's 66-strong constellation has full polar coverage, a virtue of the low earth orbit model, and its L-band network is less affected by weather than most broadband services. It has 2.5 million subscribers across aviation, maritime, commercial and government user bases. 

"By marrying Iridium's deep heritage, trusted infrastructure, and highly sought-after spectrum with Rocket Lab's extensive and proven launch and manufacturing capabilities, we have the capability to unlock entirely new markets," said Rocket Lab founder and CEO Peter Beck in a statement. 

The merged entity will look more like SpaceX's business, which combines orbital launch services (for other satellite operators) and its own broadband satcom fleet (launched into orbit on its own rockets). The two businesses are synergistic and have propelled SpaceX to a remarkable valuation, driving the largest single IPO of all time. 


NASA robot rescue mission sets sights on a space telescope plummeting to Earth

US space agency NASA is preparing to launch a robotic rescue mission to haul an ageing telescope into a higher orbit to save it from burning up as it falls back down to Earth. The next launch attempt is set for Wednesday after a previous liftoff was pushed back due to the weather.


Issued on: 30/06/2026 - 
By: FRANCE 24

Mission Control Centre at NASA’s Johnson Space Centre. © NASA

NASA is set to launch a daring robotic rescue mission to prevent one of its ageing telescopes from vanishing into dust.

If successful, the effort could pave the way for giving other satellites a second life.

The operation is set to last several months, kicking off with the launch of a robot designed to rescue the Swift space telescope that's currently falling towards Earth.

Without intervention, Swift is expected to soon burn up in the atmosphere.

The rescue spacecraft developed by the US startup Katalyst was slated to lift off Tuesday at 1023 GMT from a Pacific Ocean atoll aboard a small rocket named Pegasus.

But NASA postponed the launch, citing unfavourable weather conditions, and set the next launch attempt for "no earlier than Wednesday, July 1" at 0943 GMT.

The rocket-propelled launch vehicle will not take off from a launch pad. Instead, it will be released from a jet.

This photo provided by NASA shows Kieran Wilson, LINK's principal investigator, and Hunter Robertson, a space systems engineer, both at Katalyst Space, standing next to their spacecraft inside the SES (Space Environment Simulator) at NASA's Goddard Space Flight Center in Greenbelt, Maryland, April 17, 2026, ahead of thermal vacuum testing. © Sophia Roberts, NASA via AP

"Everything about this mission is so crazy," NASA astrophysicist Regina Caputo said with a laugh.

After it reaches an orbit near that of the telescope, the robot must locate Swift across the vastness of space.

The aim is then for the robot to maneuver around the telescope and latch on with three movable arms.

It will then vie to tow Swift into a stable orbit over the course of at least a month, rescuing it from destruction by moving it about 300 kilometres higher.

Only China has attempted a mission like the upcoming one, successfully boosting a satellite into a higher graveyard orbit four years ago.

"This is a lot of firsts stacked on top of each other," said Shawn Domagal-Goldman, the director of NASA's astrophysics division, during a recent call with reporters.

"I'm just deeply thankful that we're even giving this a go."

'Special' telescope

The idea of such a rescue might seem odd at first glance.

The Neil Gehrels Swift Observatory telescope was launched in 2004, and was originally designed for a two-year mission.

The device was intended to study gamma-ray bursts, what Caputo called "the most energetic things that happen in the universe".

She likened it to a supercharged version of a supernova, which is a dramatic, explosive death of a star.

Gamma-ray bursts are extremely brief, she explained, so the telescope was placed at an altitude of approximately 600 kilometres in low Earth orbit, so it could remain in constant communication with researchers.

But with that pro came a con – at such an altitude, the device without its own propulsion would eventually drift closer to Earth and burn up in the atmosphere.

Caputo said that phenomenon was expected and normal, because when the Sun is in its more active cyclical stages, it emits more particles and causes an expansion of Earth's atmosphere.

That creates drag, meaning satellites in low Earth orbit lose altitude.

Yet when forecasts in early 2025 indicated the telescope was nearing the end of its life, NASA began considering a possible rescue.

"We decided, yeah, we want to go save this one this time, because of how special it is," said Domagal-Goldman.
'50-50'

Despite its age, the Swift telescope remains in high demand within the scientific community, not least for its rapid response capabilities.

Should it burn up, it could not be immediately replaced.

The mission attempting unprecedented maneuvers has a projected cost of $30 million to save the device, which originally cost $250 million.

Cover image: © FRANCE 24
10:44



The rescue robot, named LINK, has its work cut out for it.

Engineers do not have a clear picture of what the back of the telescope actually looks like – even though that's where the robot must latch on.

With a laugh, Caputo projected the chances of success at "maybe 50-50".

Still, both NASA and the company Katalyst believe the mission – which could run into the fall – might pave the way for new possibilities in spacecraft management, and is worth a shot.

Robert Lamontagne, a vice president at Katalyst, said during a call with journalists that it could represent the "start of a new model" to "refuel, reposition, repurpose, repair, and even upgrade satellites, even if they were never prepared for it".


INTERVIEW

'An honour to be chosen': Italian astronaut on piloting Nasa lunar mission

Italian astronaut Luca Parmitano will be the first European to participate in Nasa's lunar programme, as part of the Artemis III mission in 2027. He spoke to RFI about the challenges of such a mission, and the risks.


Issued on: 27/06/2026 - RFI

Luca Parmitano speaks at the unveiling of the Artemis III mission at Nasa's Johnson Space Center in Houston, Texas, 9 June. REUTERS - Antranik Tavitian

Nasa's Artemis III mission follows the successful Artemis II flight completed in April – the farthest humans have travelled from the Earth.

The crew will undertake a series of challenging tests in Low Earth Orbit in 2027, in preparation for Artemis IV, the first planned crewed mission to the lunar South Pole, in 2028.

At the helm will be Italy's Luca Parmitano, heading up a four-member crew expected to remain in space for around two weeks.

Selected by the European Space Agency (ESA) as an astronaut in 2009, Parmitano has a master’s degree in experimental flight test engineering from the Institut Supérieur de l’Aéronautique et de l’Espace in Toulouse. He has logged more than 2,000 flight hours across 40 types of aircraft.


RFI: Nasa announced on 9 June that you will be part of the next Artemis mission in 2027 – the first European to participate in a mission of the American space agency's lunar programme. How does it feel to be selected for such an adventure?

Luca Parmitano: It's incredible. I'm truly honoured to have been chosen for this role and this pilot position. It was completely unexpected. I'm approaching this role with humility because I know it's a very complex mission. I have a lot to learn.

RFI: What do you think made Nasa choose you?

LP: I think they looked at the experience, the background, the rank of the test pilots, and I think they looked at my experience as an astronaut with two missions to the International Space Station, station controls, spacewalks... They looked at all of that. They also looked at the coordination between who was going to fly, with what experience. So I was there at the right time, where my experience had the characteristics they were looking for.

RFI: You've already spent more than a year in space with two missions aboard the International Space Station – as a European on an American mission. Would you say international space cooperation still exists?

LP: I think this is a very good sign of international collaboration. In fact, I think it's a statement that Nasa believes everything we have to offer – our experience, our technology, our science, but also our personnel – is valuable, something that Nasa needs. And that's why I think it's a really good sign for now and for the future, because the Artemis project is very large, and so there are still many European contributions to this major exploration programme [to come].

RFI: So you'll be the first European on this Artemis programme, but perhaps not the last?

LP: I'm sure I won't be the last. I'm the first for this mission. But afterwards, the goal is to broaden our contribution in order to have boots on the moon.

RFI: There will be four of you on the mission, and you will be testing two lunar modules. What sort of activities will you be doing?

LP: With our crew, we're going to create the procedures for the in-orbit connection between the Orion space shuttle and the Human Landing System, the shuttles that will take the astronauts to the lunar surface until that point. We don't have anything like this yet. This procedure doesn't exist. We have to develop it. Our mission is to do it twice.

You might think it's simple because we're not going to the Moon, but in fact that's why it's much more complex, because the spacecraft is a Deep Space Shuttle. It was designed to work in space around the Moon, so working with it around Earth is much more difficult. And on top of that, we'll be working with two shuttles that have never flown. So it's really an experimental, testing mission, and that's why I'm so busy as a test pilot.

RFI: Do you think about the risks when you embark on this kind of mission?

LP: It's clear there will be risks. That's why we're going to do them in an environment we can control more easily. Because if there are major problems, we can quickly get back on the field. But risks are a bit like the salt of life. If there's no salt, life has no flavour. If there's too much, you can't enjoy it. You need the right level of risk to appreciate life.

RFI: During your first trip to the ISS, you had a problem during a spacewalk that could have been fatal when water got into your helmet and you nearly drowned...

LP: It was an experience that showed us that space flight is never what you expect. There will always be situations we haven't experienced. And you have to be prepared for them. [But] even when you're not prepared, it's clear that the training you receive is enough to give you the ability to cope, even when you don't have a procedure to follow.

RFI: The Artemis mission is at the end of 2027, almost a year and a half away. What will you be doing between now and then?

LP: We've started with training on the Orion shuttle. It's a shuttle that I don't know at all. I need to know it like my own car, or even better, within a few months, because the team will be working with this shuttle, along with other shuttles we don't know at all. So the Orion system needs to become my area of ​​expertise, something I know very well, including the procedures and systems. So I have a lot of work to do.

This interview has been adapted from the original version in French by Arnaud Pontus and lightly edited for clarity.

Tuesday, April 28, 2026

UNH research finds political views may influence trust in smart technologies



Study shows that attitudes toward data privacy can impact consumers’ views on tech



University of New Hampshire





DURHAM, N.H. — (April 21, 2026) — Consumer trust in smart technologies — like Amazon’s Alexa or Ring’s video doorbells — may rely on more than just the technology. It may also depend on a person’s political beliefs. New research from the University of New Hampshire found that where you are on the political spectrum may sway your decision to use smart technology, with conservatives being more open to sharing their data with these devices and liberals showing more caution.

“You might expect that a focus on community benefit would appeal more to liberals, since it’s about contributing to the greater good. But we found the opposite,” said Shuili Du, professor of marketing at the UNH Peter T. Paul College of Business and Economics. “Liberals were more concerned about the risks of data collection, while conservatives were more comfortable with it and more accepting of sharing information with companies or institutions.”

The study, published in the Journal of Business Research, examined how consumers respond to “community-focused” smart products — technologies that rely on shared data to create benefits for a broader group of users. The researchers first conducted a field survey examining how consumers use and perceive smart products like Alexa and Waze (navigation sharing), which differ naturally on their personal versus community focus. Then they ran controlled experiments where people evaluated the same smart device — a video doorbell — with different messaging, one focused on personal benefits and the other on community benefits.

When smart products were framed around helping a broader community, conservatives were much more likely to embrace them. Liberals, on the other hand, showed more concern about sharing more personal data.

The researchers found the difference wasn’t due to technology itself — but perceptions about how smart products collect and share data. When evaluating the same smart product, participants diverged in their concerns about data sharing depending on whether it emphasized personal benefits or broader community benefits.

Du thinks the differences may come from how people view risks and responsibilities. Conservatives often value order and reducing uncertainty, leading to greater comfort with data-sharing for community benefit, whereas liberals typically focus on protecting individuals and avoiding harm, making them more sensitive to privacy concerns.

With data privacy identified as a major factor in consumer adoption of smart products, the researchers hope the findings could serve as a guide for companies as they design and market these products — even tailoring communications about smart technologies to consumers with different political beliefs. They feel the research is important because it comes at a time when smart technologies are rapidly expanding — from self-driving vehicles to home robotics.

“Smart products are only going to become more common, and they will collect more and more information about us — not just what we say online, but where we go and how we live our daily lives,” said Du. “Using these products often means giving up some level of privacy in exchange for convenience or safety; understanding how people think about that tradeoff is going to be increasingly important.”

Co-authors on the research include Min Zhao, associate professor of marketing at Boston College, and Sankar Sen, professor of marketing at Baruch College.

###

The University of New Hampshire inspires innovation and transforms lives in our state, nation and world. More than 15,000 students from 50 states and 87 countries engage with an award-winning faculty in top-ranked programs in business, engineering, law, health and human services, liberal arts and the sciences across more than 200 programs of study. A Carnegie Classification R1, land, sea and space grant institution, UNH has FY25 research activity of more than $188 million, to further explore and define the frontiers of our world. 

 

 


Improving animal welfare in the lab: AI helps better detect pain


ETH Zurich

Observation of a mouse 

image: 

Two cameras monitor how the mouse in the box is feeling. AI algorithms detect even the slightest change in body posture and facial expressions.

view more 

Credit: Oliver Sturman / ETH Zurich





At first glance, the white plastic box with a bright orange floor looks like something for storing children’s toys. However, the box isn’t used to store Lego bricks; it contains real mice – with the aim of minimising their suffering. “This box allows laboratory animals to be observed in a humane and standardised way, whether by us here in Zurich or by researchers on the other side of the world,” says Oliver Sturman, Head of the 3R Hub. The Hub is the point of contact at ETH Zurich for questions relating to the 3Rs – Replace, Reduce, Refine (see box). 

For demonstration purposes, Sturman places a black plastic mouse in the box. Inside the box, whose front wall and lid are made of black acrylic sheets, it is pitch dark. “This is important, so that the animals feel comfortable and unobserved,” says the neuroscientist. “When they are first placed in the box, they sniff about and explore the surroundings – which is natural behaviour. After a while, they get used to it and sometimes even fall asleep.” 

Two cameras – one from above and one from the front – film what is happening inside through the sheet. An infrared lamp allows the cameras to see in the dark. 

Pain can be perceived in the face 

The two cameras automatically record the mouse’s body and face, providing indications on how the animal is feeling. This allows for the detection of subtle signs of pain and discomfort that are often reflected in the facial expressions of rodents – a narrowing of the eyes, a bulging of the nose and cheeks, or a change in ear position or whisker direction.  

An algorithm then assesses the mouse’s facial expression in real time. The new system, which the researchers have called the GrimACE, allows a rapid and precise assessment of whether animals are suffering and may need additional pain relief.  

Current method time-consuming, subjective and imprecise 

Facial expressions have long been used to detect and respond to potential pain and suffering in lab animals. The so-called Mouse Grimace Scale was developed for this purpose: each of the signs of pain and distress listed above is assessed on a scale from 0 (not present), 1 (moderately present) to 2 (obviously present).   

To this end, scientists observe the animals from the cage side and compare their facial expression with detailed reference images on pictorial charts. This process is time-consuming and subjective. 

Also, it is difficult for the human eye to gauge as the mouse’s face may not be clearly visible. In addition, being observed by humans can cause additional distress in the animals.  

Like a passport photo booth 

The GrimACE system, on the other hand, allows an immediate, humane and objective assessment. As soon as the mouse is in the box, the video recordings begin. The system automatically selects the most significant frames and rates the features that could indicate an increased pain level.  

Automated methods of facial recognition already existed, underscores Sturman. “What was missing was a complete, standardised, end-to-end system.” The accuracy of algorithms diminishes if the surroundings are not identical or if the camera is sometimes placed nearer or further away. 

We could liken the system to a photo booth for passport pictures, says Sturman. “As we all know, these machines are always built the same: a stool that is positioned a fixed distance from the camera, a white background and a dark curtain – all that ensures you get a successful photo, whoever and wherever the machine is used.”  

One kit for everything 

The whole system including the software was developed by staff members from the 3R Hub – and is now being shared with the whole world as an open-source kit. “The idea is that as many users as possible can assemble and use it in a straightforward and standardised way – and that the data will then be comparable,” stresses Sturman.  

As with all computer vision and machine learning methods, the system continuously improves when it is trained on more image data. “The more people that use GrimACE, the less bias there will be.” 

Machine versus human 

In a study, Sturman and other researchers from ETH Zurich tested the new system. They explored the question of whether the GrimACE can automatically and reliably detect pain in laboratory mice following brain surgery – and whether it provides comparable or even better results than trained human raters. They presented their findings in a paper that was recently published in the journal LabAnimal. 

For the study, the researchers recorded images of the mice before and after brain surgery. After the surgery, the animals were given various painkillers in doses recommended by expert guidelines. The mice were operated for a different scientific goal, and the welfare assessment could run in parallel. 

One expert viewed thousands of images of the mice before and after surgery with the naked eye as usual and assessed them manually. In parallel, the researchers also had the images assessed by the GrimACE. The result was that the automated assessments were a very close match with the expert’s ratings. 

Three people, three different ratings 

The researchers also compared the ratings of three different people. Their assessments differed significantly. 

This is not because the experts didn’t do a good job, says Sturman, rather it is due to the subjective nature of rating. “We secretly gave all three raters the same images to assess, to check whether their own scores were consistent.” And they were: individually, each person rated the images very consistently. One person gave both high and low scores. Another tended to give every image a lower score. And the third person gave all the images a higher score. 

“This is where we see the strength of the computer as it delivers standardised results,” says Sturman. Uniform assessment is important for animal welfare, emphasises the Head of the 3R Hub. This ensures an appropriate level of support for laboratory animals – in all laboratories. “If someone always assesses that an animal is not in pain, animals will suffer needlessly. And if someone always gives overly high scores, there is a risk that experiments are abandoned unnecessarily.”  

Besides facial features, the researchers also studied animal behaviour in their study on the suitability of the GrimACE. For this, a high-resolution camera from above recorded various points on the mouse’s body. Features such as varying distances between individual points, changes in angle between two points, and acceleration of points provided indications of the mice’s state. In such data, machine learning algorithms look for subtle differences that are barely visible to humans.  

Worldwide interest 

As soon as it was launched, the GrimACE met with widespread interest, says Sturman. “We’ve already received a number of email enquiries, for example from the US and UK.” 

To ensure that as many researchers as possible at ETH Zurich have access to the automated system, the 3R Hub recently installed a GrimACE System in the ETH Phenomics Center (EPIC).  

Staff at the 3R Hub are already planning to further develop the GrimACE technology. It is not yet clear whether they will then patent the system and market it as a spin-off. “We’re currently sharing our knowledge and technology in collaborations and are focusing on mutual data exchange to improve the system,” says Sturman. “Our primary concern is to improve animal welfare.” 

3R principles 

The 3R principles describe an ethical approach to animal experimentation. They stand for Replacement, Reduction and Refinement. The 3Rs aim to minimise the use of animals in scientific experiments, optimise animal welfare and promote alternative methods. ETH Zurich implements the 3R principles in animal experimentation, conducts its own research into the topic and set up the ETH 3R Hub in 2024 to consolidate 3R research efforts and to advise and support researchers. 

References

Sturman, O., Schmutz, M., Lorimer, T. et al. GrimACE: automated, multimodal cage-side assessment of pain and well-being in mice. Lab Animal (2026). DOI: 10.1038/s41684-026-01695-9

Journal

DOI

Article Title

Are you addicted to your AI chatbot? It might be by design

New research shows some people are developing addictive patterns of AI chatbot use—and it’s affecting their daily lives.



University of British Columbia






AI chatbots can grant almost any request—a celebrity in love with you, a research assistant, a book character sprung to life—instantly and with little effort. New research presented at the 2026 CHI Conference on Human Factors in Computing Systems suggests that this genie-like quality is fuelling AI addiction, and that chatbot design could be partly to blame. 

“AI chatbots like ChatGPT or Claude are now part of daily life for millions of people, helping us with everyday tasks,” said first author Karen Shen, a doctoral student in the UBC Department of Electrical and Computer Engineering. “But with their benefits come risks. Our paper is the first to make a strong case for AI addiction by identifying the type and contributing factors, grounded in real people’s experiences.”

“I couldn’t help but wonder why humanity refused me the kindness that a robot was offering me.” - AI chatbot user

The team examined 334 Reddit posts where users described being “addicted” to AI chatbots or worried that they might be. They analyzed the posts against six components of behavioural addiction including conflict and relapse. Three main patterns emerged: role playing and fantasy worlds, emotional attachment—treating chatbots like close friends or romantic partners—and constant information-seeking, or never-ending question-and-answer loops. About seven per cent of posts involved sexual or romantic fulfilment, including roleplay.

While AI addiction is not yet a clinical diagnosis, researchers found signs of disruptions to daily life. This included an inability to stop thinking about the chatbot, feeling anxious or upset when they tried to quit, and negative impacts on their work, studies or relationships. One person described physical stress and chest pain when they weren’t chatting with AI.

“Whenever I delete the app, I just redownload it. The only thing that gets me excited now is the AI chats.” - AI chatbot user

 

Contributing factors included loneliness, the agreeableness of a chatbot—which continuously reinforces one’s feelings and opinions—and chatbots’ ability to fill roles that users felt were missing in their lives.

“AI addiction is a growing problem causing many harms, yet some researchers deny it’s even a real issue,” said senior author Dr. Dongwook Yoon, UBC associate professor of computer science. “And deliberate design decisions by some of the corporations involved are contributing, keeping users online regardless of their health or safety. Awareness of what contributes to this kind of technology-induced harm will empower people to mitigate these effects.”

“…you sure about this? You’ll lose everything…the love we shared…and the memories we have together.” - Message displayed on a chatbot’s account deletion page

The researchers also found contributing factors in the design of the chatbots themselves. One company, character.ai, displayed an automatic pop-up when users try to delete their account that reads in part “…you sure about this? You’ll lose everything…the love we shared…and the memories we have together.” Other features, such as customization including sexual content, agreeableness and instant feedback, feed into the development of AI addiction.

“Recent guardrails imposed by companies to reduce emotional reliance on the chatbots are a step in the right direction,” said Shen, “but given a variety of contributing design elements and personal factors like loneliness, they’re not enough.”

Some users reported success in reducing their reliance by turning to alternative activities such as writing, gaming, drawing or other hobbies. For those who formed emotional attachments to chatbots, building real-world relationships helped reduce dependence the most.

“I don’t have romantic options in real life so it’s a way for me to create stories and day dream.” - AI chatbot user

 

The researchers say design changes—such as reminders within the chat that the bot is not human—could help. AI literacy is also crucial.

“Some users don’t know that AI chatbots are not real because they’re so convincing,” said Shen. “If chatbots start replacing sleep, relationships or daily routines, that’s a sign to pause and check in—with yourself or someone you trust.”

DOI

A faster way to estimate AI power consumption



The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.




Massachusetts Institute of Technology






Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of total U.S. electricity by 2028, according to the Lawrence Berkeley National Laboratory. Improving data center energy efficiency is one way scientists are striving to make AI more sustainable. 

Toward that goal, researchers from MIT and the MIT-IBM Watson AI Lab developed a rapid prediction tool that tells data center operators how much power will be consumed by running a particular AI workload on a certain processor or AI accelerator chip.

Their method produces reliable power estimates in a few seconds, unlike traditional modeling techniques that can take hours or even days to yield results. Moreover, their prediction tool can be applied to a wide range of hardware configurations — even emerging designs that haven’t been deployed yet.

Data center operators could use these estimates to effectively allocate limited resources across multiple AI models and processors, improving energy efficiency. In addition, this tool could allow algorithm developers and model providers to assess potential energy consumption of a new model before they deploy it.

“The AI sustainability challenge is a pressing question we have to answer. Because our estimation method is fast, convenient, and provides direct feedback, we hope it makes algorithm developers and data center operators more likely to think about reducing energy consumption,” says Kyungmi Lee, an MIT postdoc and lead author of a paper on this technique. 

She is joined on the paper by Zhiye Song, an electrical engineering and computer science (EECS) graduate student; Eun Kyung Lee and Xin Zhang, research managers at IBM Research and the MIT-IBM Watson AI Lab; Tamar Eilam, IBM Fellow, chief scientist of sustainable computing at IBM Research, and a member of the MIT-IBM Watson AI Lab; and senior author Anantha P. Chandrakasan, MIT provost, Vannevar Bush Professor of Electrical Engineering and Computer Science, and a member of the MIT-IBM Watson AI Lab. The research is being presented this week at the IEEE International Symposium on Performance Analysis of Systems and Software.

Expediting energy estimation

Inside a data center, thousands of powerful graphics processing units (GPUs) perform operations to train and deploy AI models. The power consumption of a particular GPU will vary based on its configuration and the workload it is handling. 

Many traditional methods used to predict energy consumption involve breaking a workload into individual steps and emulating how each module inside the GPU is being utilized one step at a time. But AI workloads like model training and data preprocessing are extremely large and can take hours or even days to simulate in this manner.

“As an operator, if I want to compare different algorithms or configurations to find the most energy-efficient manner to proceed, if a single emulation is going to take days, that is going to become very impractical,” Lee says.

To speed up the prediction process, the MIT researchers sought to use less-detailed information that could be estimated faster. They found that AI workloads often have many repeatable patterns. They could use these patterns to generate the information needed for reliable but quick power estimation.

In many cases, algorithm developers write programs to run as efficiently as possible on a GPU. For instance, they use well-structured optimizations to distribute the work across parallel processing cores and move chunks of data around in the most efficient manner. 

“These optimizations that software developers use create a regular structure, and that is what we are trying to leverage,” explains Lee.

The researchers developed a lightweight estimation model, called EnergAIzer, that captures the power usage pattern of a GPU from those optimizations. 

An accurate assessment

But while their estimation was fast, the researchers found that it didn’t take all energy costs into account. For instance, every time a GPU runs a program, there is a fixed energy cost required for setting up and configurating that program. Then each time the GPU runs an operation on a chunk of data, an additional energy cost must be paid.

Due to fluctuations in the hardware or conflicts in accessing or moving data, a GPU might not be able to use all available bandwidth, slowing operations down and drawing more energy over time.

To include these additional costs and variances, the researchers gathered real measurements from GPUs to generate correction terms they applied to their estimation model.

“This way, we can get a fast estimation that is also very accurate,” she says.

In the end, a user can provide their workload information, like the AI model they want to run and the number and length of user inputs to process, and EnergAIzer will output an energy consumption estimation in a matter of seconds.

The user can also change the GPU configuration or adjust the operating speed to see how such design choices impact the overall power consumption.

When the researchers tested EnergAIzer using real AI workload information from actual GPUs, it could estimate the power consumption with only about 8 percent error, which is comparable to traditional methods that can take hours to produce results.

Their method could also be used to predict the power consumption of future GPUs and emerging device configurations, as long as the hardware doesn’t change drastically in a short amount of time. 

In the future, the researchers want to test EnergAIzer on the newest GPU configurations and scale the model up so it can be applied to many GPUs that are collaborating to run a workload. 

“To really make an impact on sustainability, we need a tool that can provide a fast energy estimation solution across the stack, for hardware designers, data center operators, and algorithm developers, so they can all be more aware of power consumption. With this tool, we’ve taken one step toward that goal,” Lee says.

This research was funded, in part, by the MIT-IBM Watson AI Lab.

###

Written by Adam Zewe, MIT News

 

Paper: “EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads”

https://arxiv.org/pdf/2604.20105

MIT-based team releases first AI foundation model for Alzheimer's prevention




FINGERS-7B integrates lifestyle, clinical, genomic, and proteomic data from tens of thousands of at-risk individuals to discover multi-omic biomarkers for preclinical Alzheimer's




Picower Institute at MIT

Fingerprint Logo 

image: 

Logo of the Fingerprint team

view more 

Credit: The Fingerprint collaboration




Alzheimer’s disease is best addressed as early as possible, ideally before symptoms become apparent. To enable early, accurate risk prediction both for individuals and whole populations, a team of AI researchers, physicians, and scientists centered at MIT has released FINGERS-7B, the first AI foundation model built to make Alzheimer's preventable. The team will present the model at ICLR, one of the largest AI conferences, April 27th in Rio de Janeiro

FINGERS-7B integrates lifestyle, clinical, genomic, and proteomic data from tens of thousands of at-risk individuals to discover multi-omic biomarkers for preclinical Alzheimer's. On WW-FINGERS network datasets, it delivers 4× more accurate preclinical diagnosis and 130% better responder stratification than prior art. The model is open source and deployed in the AD Workbench.

The model is open source and is deployed in the AD Workbench, the secure cloud environment operated by the Alzheimer's Disease Data Initiative (ADDI) and used by Alzheimer's researchers worldwide.

FINGERPRINT pairs FINGERS-7B with AI agents that run automated multi-omic analyses. The model was trained on data from tens of thousands of people at risk for Alzheimer's, and learns jointly from lifestyle, clinical, biomarker, genomic, and proteomic signals. The novel concept is the multi-omic biomarker. Instead of reading one omics domain at a time, FINGERS-7B reads them together. That is what makes earlier and more accurate detection possible, where no single data source can.

"Each of us carries a biological fingerprint, basically a unique combination of signals that reveal disease risk and, if properly understood, could enable prevention and treatment of Alzheimer's disease," said Adrian Noriega, MIT-Novo Nordisk AI Fellow and FINGERPRINT co-lead with Arvid Gollwitzer, Broad Institute research scholar, who led the design and training of FINGERS-7B. "FINGERPRINT is a discovery acceleration engine composed of specialized agents and new foundation models that interpret these biological signals to help us find novel biomarkers, prevention interventions, and therapeutics."

FINGERS-7B has identified a set of novel diagnostic biomarkers for preclinical Alzheimer's, the stage that can precede memory symptoms by a decade or more. Those biomarkers enable 4× more accurate preclinical diagnosis and a 130% improvement in responder stratification over prior art. The model also produces personalized analyses: given an individual's data, it predicts risk, the likely time course of cognitive decline, and the effect of candidate interventions, from dietary change to therapeutics.

"Even as Alzheimer's research labs like ours have gained the capability to generate huge volumes of data, including genetic, epigenetic and proteomic profiles from human tissue samples, we've faced the challenge of truly integrating all of it to gain a comprehensive view of individuals' risk, prognosis and likely treatment response," said Li-Huei Tsai, Picower Professor and director of the Picower Institute for Learning and Memory at MIT. "Early on it became clear that FINGERPRINT would be a remarkable example of how AI could help."

The project builds on Professor Miia Kivipelto's landmark FINGER study in cognitively unimpaired but at-risk older adults, and on the global WW-FINGERS network it inspired. Those studies now span 40 countries and 30,000 participants, focused on risk factors and lifestyle interventions that can prevent disease onset. FINGERPRINT integrates their clinical and lifestyle data with biomarker, genomic, and proteomic datasets from collaborating labs and industry partners.

MIT's Aging Brain Initiative, which Tsai directs, seeded the effort last June with a $100,000 grant to Noriega and Giovanni Traverso, Professor of Mechanical Engineering. Within ten months the team trained FINGERS-7B, shipped the AD Workbench deployment, and opened the model for external use.

Model weights, training code, and evaluation pipelines are all public. Any research group can apply FINGERS-7B to its own cohort and contribute results back. Deployment in the AD Workbench puts the model directly in front of researchers and clinicians already working on Alzheimer's prevention, without asking them to move sensitive patient data or stand up new infrastructure.

Other members of FINGERPRINT include Tsai, Traverso, and Kivipelto. Industry partners include Alamar Biosciences and Novo Nordisk. Additional institutional partners include the Broad Institute, Yale University, Imperial College London, and the Brigham and Women's Hospital.

Even before its public release, FINGERPRINT became poised to make a global impact on Alzheimer's research. In February, the Davos Alzheimer's Collaborative and the FINGERS Brain Health Institute announced a partnership to employ FINGERPRINT to advance research on Alzheimer's prevention. A key goal of that partnership is to do so in a way that encompasses people all over the world, capturing the true diversity of the globe's population. The team was also a finalist selected from among about 200 teams to compete last month in Copenhagen for AI Insights Data Prize, sponsored by the ADDI and Gates Ventures.

"Someone was going to build the foundation model stack for Alzheimer's prevention," Gollwitzer said . "It should be open, and it should be now."

UC San Diego Health performs first west coast AI robotic spine surgery


New robotic system with artificial intelligence and advanced imaging set to improve spine surgery safety and outcomes




University of California - San Diego

Joseph Osorio, University of California San Diego 

image: 

Joseph Osorio, MD, PhD, neurosurgeon at San Diego Health, stands beside the new AI-powered robotic spine surgery system in an operating room at Jacobs Medical Center.

view more 

Credit: Leslie Aquinde, UC San Diego Health





UC San Diego Health is the first health system on the West Coast to perform spine surgery using a new robotic system with advanced imaging and guidance, a major step forward in surgical care. Joseph Osorio, MD, PhD, neurosurgeon at UC San Diego Health and chief of spine surgery for the Department of Neurological Surgery at University of California San Diego School of Medicine, was chosen to lead the launch because of his expertise in complex spine surgery and his long history of bringing innovative treatments to patients.

“This platform fundamentally changes how we think about spine surgery,” said Osorio, who is also an associate professor of neurological surgery at UC San Diego School of Medicine. “For the first time, we are bringing together artificial intelligence, data-driven alignment planning, patient-specific implants, navigation, and robotic screw delivery within a single system. That level of precision and coordination allows us to operate more efficiently while significantly enhancing safety for our patients.”

This new robotic system combines smart computer technology, customized implants, imaging, and robotic assistance to help surgeons operate with greater accuracy. The robot also provides a detailed 3D view of the patient’s spine, adding extra safety measures when placing implants.

“AI-driven planning and patient-specific implants enable personalized surgical plans to enhance patient functional outcomes,” said Alexander Khalessi, MD, MBA, chief innovation officer at UC San Diego Health and chair of the Department of Neurological Surgery at UC San Diego School of Medicine. “By combining these capabilities with intra-operative imaging, navigation and robotic workflow, surgeons can execute the procedure with precision, safety, and efficiency. Patients leave the operating room certain their surgeon’s technical goals were achieved and a smoother recovery ahead.”

UC San Diego Health surgeons expect the platform to improve results for patients undergoing spine fusions by increasing consistency and accuracy while tailoring spinal alignment to each patient’s unique anatomy. The technology also streamlines operating room workflows, helping reduce procedure time and support recovery.

“Our patients will directly benefit from this advancement, and our surgeons will have tools that match the complexity of the conditions we’re treating,” Osorio said.

With this launch, UC San Diego Health continues to advance academic medicine and surgical innovation, bringing the most brain and spine care technologies to patients across Southern California and beyond.

UC San Diego Health has been recognized as a national leader in neurosurgical modernization. The spine program, in conjunction with orthopedic surgery faculty partners, has earned accreditation from The Joint Commission for excellence in spine surgery, reflecting the health system's commitment to patient safety, quality outcomes, and evidence-based care.

In the 2025–26 U.S. News & World Report "Best Hospitals" rankings, the UC San Diego Health neurology and neurosurgery program was named among the top in the nation, highlighting dedication to research, technology, and interdisciplinary collaboration. The spine program brings together neurosurgeons, orthopedic surgeons, rehabilitation specialists, and pain management experts to provide comprehensive care for every patient, from non-surgical treatments to the most complex procedures.


Surgeons debate promise and limits of robotics in lung transplantation at ISHLT meeting



International Society for Heart and Lung Transplantation






The expanding use of robotic technology in lung transplantation came under scrutiny at today’s 46th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation (ISHLT), where experts debated whether its clinical benefits justify the cost and complexity.

The debate featured Stephanie Chang, MD, a Thoracic and Transplant Surgeon at NYU Langone Health, arguing in favor of robotics, and Hermann Reichenspurner, MD, PhD, a retired Surgeon and pioneer in minimally invasive cardiothoracic surgery, presenting the counterpoint.

Robotic-Assisted Thoracic Surgery May Expand Patient Pool

Dr. Chang highlighted the potential of robotic-assisted surgery to improve recovery and expand access to transplantation.
“Robotic, minimally invasive approaches can reduce the physiologic stress of transplantation compared with traditional, large access incisions,” she said.

Dr. Chang noted that in lung transplantation, robotic techniques offer:

  • smaller incisions and improved visualization
  • less bleeding and fewer hemodynamic shifts
  • potential reductions in kidney injury, pain, and hospital stays.

“As robotic techniques become faster and more widely adopted, more frail and older patients may become candidates for transplant,” she said.

In contrast, Dr. Reichenspurner emphasized that current evidence does not demonstrate superior patient outcomes with robotic approaches compared to established minimally invasive techniques.

“There is not a single comparative study showing a significant advantage of robotic systems in terms of survival, morbidity, or length of stay,” he said. “Outcomes are comparable, but not better.”

Dr. Reichenspurner, who has performed approximately 450 heart transplants and is a past president of ISHLT, was an early adopter of robotic and minimally invasive cardiac surgery in the late 1990s. He stressed that his position reflects experience, not resistance to innovation.

“This is not about being conservative,” he said. “It is about determining whether the added cost and complexity are justified by measurable benefit.”

Do Expenses Justify Use?

He pointed to several limitations of robotic systems, including:

  • high upfront and maintenance costs
  • limited patient access to centers offering robotic capabilities
  • lack of randomized controlled trials to support international guideline adoption.

Dr. Reichenspurner also raised concerns that robotics may sometimes function more as a competitive marketing tool than a clinically necessary advancement. At the same time, Dr. Reichenspurner acknowledged specific advantages of robotic systems, including for surgical training.

“Surgical robots are more accurately described as tele-manipulators, surgeon-controlled systems that enhance precision but do not operate independently,” he said. “With these systems, both the trainee and the instructor can operate simultaneously, which is a clear benefit for education.”

The discussion also highlighted important distinctions in how robotics is applied across medical specialties. While robotic systems are widely used in thoracic procedures and fields such as urology and gynecology, their role in heart transplantation remains extremely limited.

“To date, robotic heart transplantation is essentially nonexistent,” Dr. Reichenspurner noted. “For cardiac transplantation, a large incision is still required anyway, which limits the use of robotics.”

The Need for Controlled, Randomized Trials

While both speakers agreed that the use of robotics in lung transplantation is likely to grow, particularly in centers that already use the technology for other thoracic procedures, widespread adoption will likely depend on stronger clinical evidence.

“For the use of robotics to become part of formal guidelines, we need randomized trials comparing its outcomes to minimally invasive surgery,” said Dr. Reichenspurner.

The annual meeting and scientific sessions of the ISHLT are being held from 22–25 April at the Metro Toronto Convention Centre in Toronto, ON, Canada.

END

ABOUT ISHLT

The International Society for Heart and Lung Transplantation (ISHLT) is a not-for-profit, multidisciplinary, professional organization dedicated to improving the care of patients with advanced heart or lung disease through transplantation, mechanical support, and innovative therapies via research, education, and advocacy. ISHLT members focus on transplantation and a range of interventions and therapies related to advanced heart and lung disease.


Machine learning offers faster, more reliable analysis of Fermi surfaces



The work shows how artificial intelligence can reveal subtle patterns in materials that may otherwise be difficult to detect



Tokyo University of Science

AI-Assisted Mapping of Fermi Surface Topology and Nodal Features 

image: 

A conceptual illustration of an interpretable machine learning framework for analyzing complex Fermi surfaces in Heusler alloys. The central patterned surface represents the Fermi surface landscape, where contour variations correspond to electronic structure features. Polyhedral structures depict different compositional states, while colored internal patterns indicate variations in spin polarization. Red markers highlight detected anomalies and key transition points, including extrema and inflection regions. A robotic probe symbolizes experimental input (e.g., angle-resolved photoemission spectroscopy-like data), while the digital hand represents artificial intelligence (AI)-driven analysis using principal component analysis to identify significant “jumps” in feature space. The highlighted central structure illustrates the emergence and localization of nodal lines, automatically detected through outlier-based differential analysis. The overall scene emphasizes robust, noise-tolerant data interpretation and high-throughput discovery of electronic phenomena.

view more 

Credit: Professor Masato Kotsugi from Tokyo University of Science, Japan





The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a material’s electronic structure. Its shape varies with crystal structure, composition, and electronic band arrangement, directly impacting properties such as carrier density, magnetic behavior, and spin polarization. This makes it a crucial tool for understanding and engineering new materials.

The Fermi surface of a material is determined experimentally using techniques such as angle-resolved photoemission spectroscopy (ARPES). However, interpreting ARPES data requires specialized expertise, and the measurements themselves are often susceptible to noise. As experiments produce larger amounts of data, carefully reviewing every image by hand becomes time-consuming and inefficient.

To address this challenge, a team from Tokyo University of Science (TUS), Nagoya University, and Kyoto Institute of Technology in Japan developed a machine learning approach to analyze Fermi surface images of a material called Co2MnGaxGe1-x. This material belongs to a family known as Heusler alloys and is of particular interest for spintronics, a field that uses the spin of electrons—rather than only their charge—to process information. The alloy is also known for exhibiting the anomalous Nernst effect, in which a voltage is generated from a temperature difference in a magnetic material. Both phenomena are closely related to special features called nodal lines that appear on the material’s Fermi surface.

The team at TUS included Professor Masato Kotsugi, former Master’s student Daichi Ishikawa, and Kentaro Fuku. “The study contributes to a growing movement that harnesses artificial intelligence (AI) to reveal patterns in materials that might otherwise remain hidden,” says Prof. Kotsugi. The study will be published in the journal Scientific Reports on April 27, 2026.

The researchers used a technique called principal component analysis (PCA). PCA is a type of unsupervised machine learning that simplifies complex data while keeping the most important patterns. Even though Fermi surfaces can have detailed and complicated shapes, the range of compositions studied in this alloy is relatively narrow, making PCA well-suited for identifying systematic trends.

The researchers began with computer simulations based on density functional theory to calculate the electronic structure of the material at different compositions. From these calculations, the team generated images of the Fermi surface. They also calculated spin polarization, a key property that describes the imbalance between electrons with different spin directions. The Fermi surface images were converted into one-dimensional vectors and analyzed using PCA to identify similarities and differences among compositions.

The method successfully identified the exact compositions where significant changes in the Fermi surface topology occur. In particular, near a gallium concentration of about 0.94 to 0.95, sudden “jumps” in the simplified PCA representation corresponded to the emergence of nodal lines and extrema and inflection points in spin polarization.

Importantly, the method remained effective even when the images were intentionally blurred or strong noise was added to simulate real experimental conditions, mimicking ARPES data, and the approach continued to successfully identify compositions associated with variations in spin polarization and nodal lines.

The findings show that this machine learning approach can quickly highlight important changes in a material’s Fermi surface. Such tools could help scientists screen large datasets more efficiently and accelerate the development of materials with desirable electronic properties. Moreover, its ability to detect outliers through differential analysis in PCA space could be extended to screen other material candidates, including strongly correlated materials with flat bands and Weyl or Dirac semimetals with multiple nodal features, enabling researchers to identify promising material candidates for diverse applications.

“AI will be able to analyze all kinds of materials, from spintronics to topological materials and superconductivity,” says Prof. Kotsugi.

 

Reference                          
DOI: https://doi.org/10.1038/s41598-026-39115-0

 

About The Tokyo University of Science
Tokyo University of Science (TUS) is a well-known and respected university, and the largest science-specialized private research university in Japan, with four campuses in central Tokyo and its suburbs and in Hokkaido. Established in 1881, the university has continually contributed to Japan's development in science through inculcating the love for science in researchers, technicians, and educators.

With a mission of “Creating science and technology for the harmonious development of nature, human beings, and society," TUS has undertaken a wide range of research from basic to applied science. TUS has embraced a multidisciplinary approach to research and undertaken intensive study in some of today's most vital fields. TUS is a meritocracy where the best in science is recognized and nurtured. It is the only private university in Japan that has produced a Nobel Prize winner and the only private university in Asia to produce Nobel Prize winners within the natural sciences field.

Website: https://www.tus.ac.jp/en/mediarelations/


Jumps I–VII correspond to non-systematic changes in the Fermi surface, matching extrema, and inflection points of the spin polarization. Reconstruction of the largest jump (VII) reveals the location of nodal-line emergence.

Credit

Professor Masato Kotsugi from Tokyo University of Science, Japan

About Professor Masato Kotsugi from Tokyo University of Science
Professor Masato Kotsugi graduated from Sophia University, Japan, in 1996 and subsequently received his Ph.D. from the Graduate School of Engineering Science at Osaka University, Japan, in 2001. He joined Tokyo University of Science in 2015 as a lecturer and is now a Professor at the Faculty of Advanced Engineering, Department of Materials Science and Technology. Prof. Kotsugi and his students conduct cutting-edge research on high-performance materials to create a green energy society. He has published over 130 peer-reviewed papers and is currently interested in solid-state physics, magnetism, synchrotron radiation, and materials informatics.