Saturday, May 16, 2026

Inside the Korean hotel training humanoid robots with cameras on workers’ hands


By Roselyne Min with AP
Published on 


The project reflects South Korea’s wider ambition to turn its chip industry, manufacturing strength and industrial know-how into an edge in ‘physical AI’. But can it catch up in a field still dominated by the US and China?

In South Korea, hotel workers are folding napkins and polishing glasses while cameras track every movement, all to teach humanoid robots how to do the same work inside hotels, factories, and warehouses.

At a high-end hotel in the country’s capital, Seoul, David Park is folding napkins, wiping glasses down, and setting tables, all while every movement is recorded in detail, with cameras strapped to his head, chest, and hands.

Park takes part in the recording sessions about once a month as part of a project run by South Korean artificial intelligence (AI) company RLWRLD, attempting to develop AI systems for five-finger robotic hands intended to more closely replicate human touch and movement.

The company says the process captures highly detailed information, including finger positioning, joint angles, and the amount of force applied during tasks.

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Developers then use that data to train robots equipped with humanlike metal hands and onboard cameras.

In demonstrations, robots sort cutlery, lift cups, organise trays, and fold cloth napkins inside recreated hotel environments.

Current humanoid systems remain far slower than humans. RLWRLD says a robot would currently need several hours to clean a hotel room that staff can prepare in around 40 minutes.

However, the company says advances in AI software and robotic hardware are accelerating rapidly and it hopes its technology can be used in industrial AI robots by 2028.

RLWRLD says hospitality work provides valuable training because many hotel tasks require precision and subtle hand control.

“For example, with Lotte Hotel, if you were to have a robot fold napkins, a gripper wouldn’t be able to achieve the precise and crisp folds expected of hotel service quality. It wouldn’t be able to achieve a level that can be used in service,” said Hyemin Cho, RLWRLD business and strategy executive.

The company says it is also collecting similar data from logistics workers at South Korean conglomerate CJ Group’s warehouses and from staff at Japanese convenience store chain Lawson, where workers’ hand movements are tracked as they arrange food displays and handle goods.

The goal is to build AI software that can operate across robots used in a range of factories and other workplaces in the coming years, before potentially expanding into homes.

RLWRLD’s engineers say replicating the dexterity of human hands is a key priority.

Physical AI race

The project is part of South Korea’s growing push into “physical AI,” a sector focused on robots that can perceive, decide, and act in real-world environments.

Just as chatbots such as ChatGPT and Gemini train on vast troves of internet text, AI robots require extensive data on human action to handle advanced physical tasks.

South Korean companies believe they may have an advantage because of the country’s manufacturing base and its large pool of skilled industrial workers, whose expertise can be translated into robot training systems.

The push is part of a wider national effort to turn South Korea’s semiconductor and manufacturing strengths into a stronger position in AI robotics, even as the United States and China continue to lead the field as part of their wider technological rivalry.

The country is stepping up efforts to compete in the humanoid robotics race, with its government recently announcing a $33 million (€28 million) national project aimed at recording the “instinctive know-how and skills” of experienced technicians to help train AI-powered manufacturing robots.

Major corporations are also investing heavily. Hyundai Motor plans to introduce humanoid robots developed by Boston Dynamics at its factories from 2028.

Samsung Electronics says it aims to convert all manufacturing facilities into “AI-driven factories” by 2030 using humanoids and task-specific robots across production lines.

The development has also raised concerns among some labour groups that robots could eventually replace jobs.

However, for Park, who has worked in hospitality for nine years, the innovation is more exciting than worrying.

“If you look at the entire process of preparing for an event in the back-of-house space, we think humanoids might be able to take over about 30% to 40% of that workload,” Park said.

“However, I think it will be difficult for them to replace the remaining 50%, 60%, 70% of the work, which involves the actual 'human-to-human' interaction. In that sense, it’s more exciting than concerning”.


Europe’s AI defence revolution: who’s leading and what comes next?

Euronews Next takes a look at how European countries are integrating AI into their militaries.
Copyright Canva


By Anna Desmarais
Published on 

Analysts told Euronews Next that Germany, France, Ukraine and the United Kingdom stand out as countries that have done the most for AI military integration so far.

Europe’s militaries are moving rapidly from experimenting with artificial intelligence (AI) to integrating it into core defence capabilities.

On Monday, Germany and Ukraine launched the “Brave Germany” programme, which will include approximately 5,000 joint AI-enabled medium-range strike drones.

The Berlin-Kyiv agreement is the latest example of accords, projects and deals struck throughout the continent to integrate AI systems into decision-making systems and weapons in Europe’s arsenal.

We take a closer look at what’s been done so far to integrate different forms of AI into military operations.

What AI already exists in Europe’s militaries?


European militaries have been using AI in their forces for human resources, logistics and maintenance support for the last 10 years, according to Laura Bruun, artificial intelligence researcher at the Stockholm International Peace Research Institute (SIPRI).

Around 2015, the technology matured enough that it “became a priority” for militaries across Europe to find a way to use them, according to Bruun.

“Very simple AI models can be used to optimise processes and, you know, say okay it’s faster if you take route B than route A, like how we use Google Maps,” she said.

AI investment is currently in one of two areas: semi-autonomous weapon systems that are enabled by AI and AI-enabled decision support systems, Bruun said.

The semi-automatic weapons have AI integrated in them, but there is always a human in the loop that “presses the button,” or makes the final decision, Bruun said.

AI-enabled decision support systems could cover “every kind of task where an AI helps you make a decision in warfare,” Bruun said.

For example, AI investments in Europe are going towards battle management, operational planning and tactical planning, according to Roy Lindelauf, professor of data science at the Netherlands Defence Academy.

Which countries are currently leading the way in Europe?

The countries leading the way on AI integration are France, Germany and the United Kingdom, according to Bruun.

These three countries have announced “huge contracts” with AI companies to accelerate its integration into targeting capabilities, she said.

For example, Germany’s Ministry of Defence signed a deal in 2023 with Helsing AI, a Munich-based defence company, to build the AI backbone in the Future Combat Air System (FCAS), Europe’s next-generation fighter jet.

Germany has also signed contracts with Helsing and weapons manufacturer Saab Germany to integrate AI into the Eurofighter’s electronic warfare system.

Another separate 269 million contract with Helsing will see the company produce loitering munitions or “kamikaze drones” to be integrated into the German and NATO militaries.

Meanwhile, the United Kingdom announced the Asgard programme in 2025, a digitally-enabled reconnaissance and strike network that combines sensors, decision-support tools and weapons to “improve decision-making and increase lethality.”

Also in the last year, the UK made a strategic partnership with US defence company Palantir, where the US company would invest up to £1.5 billion (€1.73 billion) into the country to help the government harness AI technologies.

The French stand out for their initiative to build “sovereign” AI military systems independent of the United States, Lindelauf said.

In January, the French government awarded a framework agreement to Mistral, the Paris-based AI company seen as Europe’s main competitor to American AI giants, ChatGPT and Anthropic’s Claude.

The agreement lets the armed forces and some public entities use Mistral’s AI models, software and services, according to Reuters. It builds on a cooperation agreement that the government signed with Mistral in 2025.

The European institutions are also working on AI integration, having selected several AI projects for European Defence Fund (EDF) allocation last month.

Among the projects in their latest funding round are the development of a “private, deployable, sustainable and efficient large language model” for states to use, a sovereign European AI support tool, and an AI-enabled artillery system.

Europe has some “well-thought-out” plans, but “what we need right now is to actually do it,” Lindelauf said.

“I’m sometimes worried … that our decision-making takes too much time,” he said. “The speed to roll it out might be hampered by the way we are organised.”

The Ukraine factor

Europe is largely taking from Ukraine’s playbook, Bruun said, as forces there have found many use cases for AI, such as intelligence, data analysis and situational awareness on the ground.

For example, Ukraine developed the Delta system, a digital battle management system powered by AI that combines trackers, radars, satellite providers and digital map platforms to help military officers make decisions.

The platform, developed in coordination with NATO, helps users track the location of friendly forces and identify enemy positions.

“[The system] not only combines huge amounts of different data streams, but also has the Ai layer doing the analysis on topic of that … and so I think that’s the noteworthy thing that we see in Ukraine right now,” Lindelauf said.

Ukrainian forces are also using loitering munitions, also known as “kamikaze drones,” that are drones where the navigation and target identification are automatic.

“They are not really autonomous weapons as such because you still have a commander that says, “Ok, strike,”” Bruun said. “The way we’ve seen AI used in Ukraine can give us a good sense of how also European states more broadly are looking into adopting AI.”

Ukraine is also cooperating with defence company Palantir on a project called "Brave1 Dataroom," which developed an AI that is based on combat data collected through the conflict with Russia, according to Reuters.

With Palantir, Ukraine also developed an AI system for detailed analysis of air strikes and that implements AI to handle large volumes of intelligence data, the report added.

European bodies are also working directly with Ukraine on AI defence uses. Last month, the European Commission announced project STRATUS to develop an AI-powered cyber defence system for drone swarms.

The project includes a Ukrainian subcontractor, which means the technology will be tested directly on the battlefield, the Commission said in a press release.

Bruun said there is a move towards some full-line automation in Ukraine, where they are testing munitions that can “finish the job,” if a military official loses contact with it, she said.

“I’ve read interviews from Ukrainian commanders saying that the human is a bottleneck in targeting decisions, so the more they can automate, the more resilient they are, the faster they can respond to the enemy,” she said.


Zelenskyy Meets Palantir CEO as Ukraine Doubles Down on AI Warfare

  • Zelenskyy and Defense Minister Mykhailo Fedorov met Palantir CEO Alex Karp on Tuesday, expanding a partnership that now includes deep-strike planning and the Brave1 Dataroom AI platform.

  • More than 100 Ukrainian defense companies are training over 80 AI models on real combat data to detect and intercept Russian drones, including Shahed-type UAVs Russia is producing at 400 a day.

  • Palantir's footprint in Ukraine continues to grow even as scrutiny mounts. Switzerland's armed forces dropped Palantir in December over data-leak concerns flagged by an audit.

Ukrainian President Volodymyr Zelenskyy met with Palantir CEO Alex Karp on Tuesday as Kyiv pushes deeper into artificial intelligence to fight Russia, building on a months-old partnership that is already reshaping how Ukraine targets incoming drones and plans strikes inside Russian territory.

The meeting came as Ukraine's Defense Minister Mykhailo Fedorov, who took the role in January, said more than 100 companies are now training over 80 AI models to detect and intercept aerial targets through the Brave1 Dataroom, a secure platform Kyiv launched with Palantir earlier this year.

“Today, technology, AI, data analysis and the mathematics of warfare have a direct impact on the outcome on the battlefield,” Fedorov said on Telegram after meeting Karp.

Zelenskyy was more measured. “Palantir is a renowned global company with strong potential, and there certainly are areas where we can be useful to one another, strengthening the defense of Ukraine, America, and our partners,” he wrote on X.

The numbers explain the urgency. Ukrainian commander Oleksandr Syrskyi told lb.ua earlier this year that Russia can already produce more than 400 Shahed-type drones a day, with plans to scale toward 1,000. Manual interception cannot keep up. Brave1 Dataroom is designed to fix that, training algorithms on real combat footage that already includes visual and thermal datasets of Shahed strikes.

It is not only about defense. Fedorov said Palantir software has also been folded into Ukraine's deep-strike planning, the same long-range campaign that has hammered Russian energy infrastructure for the past 18 months. Ukrainian drones have hit Novorossiysk, Tuapse, and the 400,000 bpd Kirishi refinery in recent weeks, and crude deliveries to Russian refineries dropped to a 15-year low in 2025 as the strikes intensified.

Palantir has been embedded in Ukraine since June 2022, when Karp became the first Western CEO to visit Kyiv after the full-scale invasion. The company's MetaConstellation software has been used to fuse satellite, drone, and sensor data into a single targeting picture for nearly four years. Brave1 Dataroom is a step further. Palantir's software now sits underneath a dedicated AI training environment fed with battlefield data that, as Palantir EVP Louis Mosley put it at Davos in January, “no other country, sadly,” has access to.

The expanding role has not come without friction. Switzerland's armed forces ended their use of Palantir in December 2025 after an audit raised concerns that data could be leaked to U.S. government and intelligence agencies, concerns that have followed the company into the Ukrainian deployment.

For Palantir, the war remains the showcase. The company reported Q1 2026 revenue of $1.63 billion last week, up 85% year-over-year and the fastest growth since it went public. U.S. government revenue alone climbed 84%. Karp told CNBC he expects the U.S. business to double again in 2027.

Markets are still working through the valuation. PLTR is down 18% year-to-date despite blowout earnings. But the Ukraine work is exactly the kind of operational proof point investors and Pentagon buyers have been watching for years.

By Charles Kennedy for Oilprice.com 

Stock trade disclosure reveals Trump

made massive gains on Big Tech bets


By Quirino Mealha
Published on 

A newly released ethics filing has revealed that US President Donald Trump made over 3,600 stock trades during the first quarter of 2026 with a value of between $220 million (€188mn) and $750 million (€641mn).

Donald Trump's latest financial disclosure has opened an unusually detailed window into the scale and pace of trading activity tied to the US president's investment portfolio.

The filing, submitted on Thursday to the US Office of Government Ethics through two OGE Form 278-T reports, disclosed more than 3,600 transactions executed between January and the end of March 2026.

The cumulative value of the trades ranged from at least $220 million (€188mn) to as much as $750 million (€641mn) as federal ethics disclosures only require broad valuation bands rather than precise figures.

US presidents are not banned from trading financial markets but must disclose personal trades. No charges were made or proven acts of insider trading have been outlined but the revelation still draws ethics scrutiny and a push for trading restrictions.

The filings do not specify whether Trump directed the trades. His personal assets and business empire are actively run and managed by his sons Donald Trump Jr. and Eric Trump, but some entries also indicate broker involvement.

The documents reveal extensive exposure to some of Wall Street's biggest names, particularly in technology and specifically AI.

FILE. Donald Trump Jr. and Eric Trump at the State of the Union address, 24 Feb. 2026
FILE. Donald Trump Jr. and Eric Trump at the State of the Union address, 24 Feb. 2026 AP Photo/Alex Brandon

Individual purchases of Nvidia, Microsoft, Broadcom, Amazon, Apple and others ranged from $1 million (€856,000) to $5 million (€4.27mn) in disclosed value while buy orders of AMD, Intel, Goldman Sachs, Alphabet, Airbnb, DoorDash, Micron, Bloom Energy and others ranged from $500,000 (€427,500) to $1 million (€856,000) in disclosed value.

US President Donald Trump also reported hundreds of stock sales ranging from $15,000 (€12,825) to up to $25 million (€21.37mn).

According to the report, and assuming the holdings have remained relatively the same since the end of March, Trump is 20% or more in profit on almost all of the names indicated here and others.

In particular, Trump is over 100% in profit on AMD, Intel, Iridium Communications, Bloom Energy, Intuitive Machines, Marvell Technology, Penguin Solutions, SanDisk, Seagate, Vishay Intertechnology and other stocks.

Based on the dates of the transactions it is also apparent that Trump heavily bought the price dip in March caused by the start of the Iran war. The S&P 500 dropped over 8% and bottomed

Efforts to ban public officials from trading stocks

There is currently a live bipartisan push in the US Congress to pass a stock trading ban for public officials, and several proposals are at different stages of the legislative process.

The most prominent effort is the "Restore Trust in Congress Act", a bipartisan bill introduced in the US Congress by Republican Representative Chip Roy and Democratic Representative Seth Magaziner in September 2025.

The legislation would ban members of the US Congress, their spouses and dependent children from owning or trading individual stocks and other covered investments. A companion Senate version was introduced in January 2026 by Republican Senator Ashley Moody and Democratic Senator Kirsten Gillibrand.

According to the bill's sponsors, the US Congress version has attracted more than 120 co-sponsors while a discharge petition launched by Republican Representative Anna Paulina Luna aims to force the legislation onto the House floor even without leadership approval.

There is also a separate debate over whether any ban should extend beyond the US Congress to include the president and vice president.

Some Democratic-backed proposals would apply the restrictions to the executive branch as well, partly in response to concerns surrounding US President Donald Trump's business and trading disclosures.

Republican Senator Ashley Moody talks with a reporter before a visit by US President Donald Trump, Florida, 1 May 2026
Republican Senator Ashley Moody talks with a reporter before a visit by US President Donald Trump, Florida, 1 May 2026 AP Photo/Phelan M. Ebenhack

In the Senate, a version of the ETHICS Act also advanced through committee in 2025 and would prohibit stock trading by members of Congress, the president and the vice president, although compromises and carve-outs have complicated its political path.

Despite unusually broad public support for tighter trading restrictions, the issue remains politically contentious. Republican and Democratic lawmakers disagree on whether officials should be required to fully divest existing holdings or simply stop purchasing new stocks.

There is also disagreement over whether spouses and family members should be covered, and whether restrictions should apply to the president.

Several proposals have advanced through committee or gained enough support to potentially reach the House floor, but no comprehensive ban has yet become law.

 

Nvidia surpasses Germany: How the market caps of tech giants compare to top economies

Nvidia CEO Jensen Huang speaks during an Nvidia conference focusing on artificial intelligence in San Jose, Calif., Monday, March 16, 2026.
Copyright Copyright 2026 The Associated Press. All rights reserved
O HELL


By Servet Yanatma
Published on 

Nvidia’s market capitalisation ($5.7 trillion) has overtaken Germany’s GDP ($5.45 trillion). The combined value of the five largest US companies now exceeds the total GDP of Europe’s five largest economies.

The economic size of tech giants and multinationals has grown rapidly in recent years. Nvidia hit a $5.7 trillion market capitalisation in mid-May. The company now exceeds the entire economy of Germany — the world's third largest and Europe's biggest — which stands at $5.45 trillion in gross domestic product (GDP).

So, how do the market capitalisations of tech giants and multinationals compare to the world's largest economies? And where does Europe stand?

Nvidia, the US-based semiconductor firm whose chips power everything from video games to AI systems, is the world's most valuable company. After becoming the first company to pass $5 trillion (€4.38tn) in market capitalisation in October 2025, its value reached $5.7 trillion (€4.89tn) in mid-May 2026.

Having already surpassed Japan and the UK in economic size, it now overtakes Germany's projected 2026 GDP as well, according to the IMF. Market capitalisation data is sourced from CompaniesMarketCap as of 14 May 2026.

The IMF predicts that Germany’s 2026 GDP would be $5.45 trillion (€4.67tn). The US remains the world's largest economy at $32.38tn (€27.75tn), followed by China at $20.58tn (€17.87tn).

As Germany is Europe's largest economy, Nvidia's market cap surpassing it means the company is now larger than every European economy, including the UK $4.26tn (€3.65tn), France $3.6tn (€3.08tn), Italy $2.74tn (€2.35tn) and Spain $2.09tn (€1.79tn).

Nvidia exceeds the combined GDP of 19 EU countries

Alphabet (€4.12tn) and Apple (€3.75tn) are also larger than every European economy except Germany. France (€3.08tn) surpasses Microsoft (€2.61tn) and Amazon (€2.46tn) in economic size. However, both companies still exceed Italy's GDP (€2.35tn), the continent's fourth largest economy.

The combined GDP of the 19 smallest EU economies totals $5.02tn (€4.3tn), still short of Nvidia's $5.7tn (€4.88tn) market capitalisation.

Nvidia CEO Jensen Huang joined Donald Trump's high-profile visit to China this week. In March, Huang said surging demand for artificial intelligence could drive Nvidia's sales towards $1tn within two years.

Top 5 US companies vs Europe's five largest economies

The combined market capitalisation of the five largest US companies — Nvidia, Alphabet, Apple, Microsoft and Amazon — stands at $20.81tn (€17.84tn). That exceeds the total GDP of Europe's five largest economies — Germany, the UK, France, Italy and Spain — which amounts to $18.14tn (€15.55tn).

No European company comes close to US tech giants

Dutch chipmaker ASML is the highest-ranked European company on the list, appearing at 21st with a market capitalisation of $610.69bn (€523.66bn). Europe has no company of comparable scale to the US tech giants.

Swiss pharmaceutical giant Roche has a market capitalisation of $335.1bn (€287.44bn), while UK-based AstraZeneca stands at $286.84bn (€246bn).

Market capitalisation and GDP measure different things. GDP reflects the total value of goods and services produced by an economy in a year, while market capitalisation represents the market value of a company’s equity and reflects investors’ expectations about its future earnings and growth prospects.

Still, the comparison offers a striking illustration of the scale these companies have reached.