Friday, April 03, 2026

SCI-FI-TEK 70 YRS IN THE MAKING

Expanding America’s role in fusion systems in France and Japan



PPPL’s Luis Delgado-Aparicio will lead a project to provide essential measurement equipment for two doughnut-shaped fusion devices: WEST and JT‑60SA




Princeton University

James Barton, Luis Delgado-Aparicio, Kajal Shah, Masayuki Ono, Sunny Nyhus and Jasmine Thomas 

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From left: James Barton, Luis Delgado-Aparicio, Kajal Shah, Masayuki Ono, Sunny Nyhus and Jasmine Thomas pose with the shipping crates containing PPPL's X-ray imaging crystal spectrometer before the system is flown to Japan. 

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Credit: Michael Livingston / PPPL Communications Department





Harnessing fusion energy requires seeing deep inside the plasma that fuels the reaction to understand its behavior. But it’s challenging to catch a glimpse. Custom technology is needed to measure particles hotter than the sun, many times per second.

A new international project will add powerful new X‑ray imaging systems to fusion experiments in France and Japan, along with a multi‑energy camera system in France, to make those measurements and help guide the design of future fusion systems. 

The effort is led by the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), a global leader in fusion research, working with partners at Massachusetts Institute of Technology (MIT), the University of Tennessee, Knoxville (UTK) and host laboratories overseas. R-V Industries, a private company based in Honey Brook, Pennsylvania, built and tested many of the system’s parts, including the vacuum chambers, stands, mounts and bellows.

“This investment marks a critical step toward advancing our U.S. Fusion Science & Technology Roadmap and the Genesis Mission,” said Jean Paul Allain, Director of the Office of Fusion at DOE. “The high-quality data generated will be invaluable for model validation and verification, while also advancing our efforts to converge artificial intelligence and fusion data, supporting the DOE’s Genesis Mission through the AI-Fusion Digital Convergence Platform.”

DOE has provided $12.5 million in funding for the project, with PPPL staff stationed abroad for several years. International partners often turn to PPPL for the Lab’s unparalleled theory, computation and diagnostic techniques, adding rich value to the overall fusion landscape. As PPPL marks its 75th anniversary this year, the project highlights how the Lab’s legacy of discovery continues to shape the future of fusion energy around the world. 

“This is a strong example of scaling up the capability of the Lab and the U.S. program through international partnership on a major international facility," said Matthew Lanctot, acting research division director for the DOE’s Fusion Energy Sciences.

Seeing the whole plasma

At the tungsten (W) Environment in Steady-state Tokamak (WEST), PPPL and MIT are adding two new X-ray imaging crystal spectrometer (XICS) systems to look through the top and bottom of the plasma, adding to an existing French system that looks through the center. Because these new views avoid the central axis of the doughnut-shaped plasma, scientists call them ‘off-axis’ — and they’re essential for seeing the full picture. The additional systems will let researchers look at the plasma from more angles and with greater precision. Such a view is critical for understanding how plasma behaves and, ultimately, how to produce a sustained fusion reaction.

“If you think of the plasma like a human body, if you only look at the belly button, then you don’t know what’s happening with the head or the feet,” said PPPL’s head of advanced projects Luis Delgado-Aparicio, who leads the project. “Now we will be completing the picture, so we can study the entire body.”

What is XICS?
XICS measures X-rays emitted by plasma to determine critical information, including temperature, flow speed and direction, along with the density of unwanted particles that can cool the plasma. These measurements are essential to keeping the fusion reaction stable. There are other systems that can gather such measurements, but they can sometimes provide inaccurate measurements if the temperature shifts. XICS’ advanced calibration system ensures every measurement is highly accurate.

Ultimately, the expanded and improved view provided by XICS will allow for a better understanding of how plasma behaves inside a fusion system like WEST, which is operated by France’s Alternative Energies and Atomic Energy Commission in partnership with the EUROfusion consortium. It is one of many fusion systems worldwide known as a tokamak: a doughnut-shaped device that confines a plasma using magnetic fields. WEST is particularly interesting to study because its walls are made of tungsten, a material many fusion researchers believe is the best choice in terms of longevity and plasma management.

MIT is implementing the two off-axis XICS systems, which will show how temperature, rotation and tungsten impurity levels vary across the entire plasma — not just at one point, but mapped from the plasma’s core to edge. “This is crucial information for all heat, momentum and impurity transport studies,” said John Rice, a senior research scientist at MIT’s Plasma Science and Fusion Center.

Managing heat for future fusion systems

Delgado‑Aparicio and PPPL staff research scientist Tullio Barbui are also designing a new vertical multi-energy soft X-ray camera to pair with an existing horizontal camera on WEST. Much like XICS, the vertical multi-energy camera will provide insights into managing the heat inside a tungsten-clad tokamak. 

“Using the data produced by the multi-energy suite and by XICS, we’re going to all work together to understand particle transport, plasma confinement and radiation management and, ultimately, manage power loss so that fusion systems can run efficiently,” said Delgado‑Aparicio.

Livia Casali, an assistant professor, Zinkle Fellow and ITER scientist fellow at UTK, will design and execute experiments to test impurity behavior. The measurements from the new PPPL spectrometer will provide detailed constraints on radiation and impurity transport. Casali will then use her novel computer code, SICAS, to analyze the experimental data gathered in WEST and the tokamak JT-60SA which is in Naka, Japan. “Impurities affect radiation and temperature, which, in turn, modify plasma conditions that then alter impurity behavior,” Casali said. “SICAS captures this feedback loop consistently, producing a clear and unified view of the whole plasma system.” Casali’s code simulates ion and impurity transport across the entire plasma system within an integrated framework that allows each region to dynamically influence the others. 

Testing advanced scenarios on JT‑60SA

JT‑60SA, a tokamak operated by Japan’s National Institutes for Quantum Science and Technology in collaboration with Europe’s Fusion for Energy, will also receive a 3.3‑metric‑ton XICS system designed and built by PPPL. The XICS system has already been packed into seven large crates for shipment and will be installed and tested over the next two years, with the first data expected in September 2026.

The project will involve significant international collaboration and data sharing, with PPPL researchers working in Japan for the next four years. The project is just one way that PPPL continues to amplify its impact through partnerships with companies, universities and labs across the U.S. and the world.

“This project ties together what we learn on WEST and JT‑60SA and feeds it directly into PPPL’s broader tokamak program,” said Rajesh Maingi, head of tokamak experimental science at PPPL, who serves as the project’s formal monitor. “It’s a model for how U.S. laboratories can contribute high‑impact diagnostics to international facilities.”

About PPPL

PPPL is mastering the art of using plasma — the fourth state of matter — to solve some of the world’s toughest science and technology challenges. Nestled on Princeton University’s Forrestal Campus in Plainsboro, New Jersey, our research ignites innovation in a range of applications, including fusion energy, nanoscale fabrication, quantum materials and devices, and sustainability science. The University manages the Laboratory for the U.S. Department of Energy’s Office of Science, which is the nation’s single largest supporter of basic research in the physical sciences. Feel the heat at https://energy.gov/science and https://www.pppl.gov.

 

Dalí, The Temptation of St Anthony (1946) - Study reveals the early origin of atypical alterations and the key role of amber and zinc white



The analyses carried out as part of this study confirm that the work is no longer at any risk today




University of Liège

Dalí, The Temptation of St Anthony (1946) : Study reveals the early origin of atypical alterations 

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The comparison between a 1947 photograph, a current photograph, and a UV image of the painting reveals a notable increase in transparency in certain areas. These alterations affect specific elements executed during the final stages of the painting process. The affected areas display surface irregularities, with uneven transparency and a rougher texture. Under ultraviolet light, they show a distinct bluish-white luminescence, unlike the more purplish adjacent areas. This contrast in luminescence suggests an alteration of the binding medium used in these parts of the painting.

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Credit: The 1947 photograph comes from the Emile Langui Collection, Archives de l’Art contemporain en Belgique. The other two were produced by the team at the European Centre for Archaeometry of ULiège.




As part of the FED-tWIN Face-to-Face project, a multidisciplinary team bringing together the European Centre of Archaeometry (University of Liège, ULiège), the Royal Museums of Fine Arts of Belgium (RMFAB), CNRS-Sorbonne University and Ca’ Foscari University of Venice has published a study on the conservation condition of The Temptation of St Anthony (1946) by Salvador Dalí, a major work held by the RMFAB since 1965. The research shows that the visual changes observed today (irregular transparency, loss of binding medium, roughness) are not solely the result of aesthetic intentions: they correspond to degradation phenomena that began very early, probably during the drying and maturation of the paint layers, and were already visible before the painting was acquired in 1965.

For several decades, certain areas of the painting, in particular the figure of St Anthony, his rock, architectural elements (including El Escorial), an angel, as well as details of the elephant procession, have shown a heterogeneous appearance: uneven gloss, increased transparency and a “crusted” or micro-cracked surface. The challenge was twofold: to determine whether this was an effect deliberately sought by Dalí or material alteration, and to identify the materials and mechanisms responsible for the alteration.

To achieve this, the team combined multi-technique scientific analyses carried out in situ at the museum with photographic archives (historic photographs from 1947 and 1965).

The study combined a wide range of imaging and analytical tools, including:

  • high-resolution visible-light and UV photography, and digital microscopy,
  • MA-XRF elemental mapping (macro X-ray fluorescence),
  • Raman and FT-IR spectroscopy,
  • X-ray diffraction (XRD),
  • and Py-GC-MS (pyrolysis-gas chromatography-mass spectrometry) on targeted micro-samples.

This combined approach made it possible to observe both pigment distribution, stratigraphy (layer superposition) and degradation products.

Changes in appearance within 20 years of execution

Comparison of the photographic documents shows that the increase in transparency and certain visual changes were already present before 1965, indicating early degradation, probably initiated during the polymerization and hardening of the paint films, rather than simple slow ageing over several decades.

Moreover, under UV light, the altered areas display a very characteristic bluish-white luminescence, distinct from the rest of the painted surface, consistent with binder alteration in the presence of zinc white.

The analyses identified pigments such as zinc white (ZnO) and lead white (cerussite/hydrocerussite), carbon black, earth pigments, cobalt blue and cerulean blue, chromium greens, ultramarine, strontium yellow, as well as a ground containing titanium dioxide (anatase) and anhydrite.

An important analytical result is that the MA-XRF maps showed a spatial correlation between visibly altered zones and the presence of zinc white, with some nuances:

  • the alterations mainly affect ZnO-rich layers applied over lead-white layers,
  • whereas passages containing ZnO directly on the ground do not show degradation.

The study also highlighted, in certain underlying areas beneath the lead white, indications of drying/setting problems that may have favoured ionic mobility and interactions between layers.

Amber, Dalí’s “sublime medium”… and a key factor in degradation

Beyond pigments, the research also confirms a central element of Dalí’s practice: the use of an amber-based medium (fossil resin). By Py-GC-MS, the scientists detected succinic acid, a characteristic marker of Baltic amber, and linked these results to samples of historical solutions associated with the recipes of the Belgian artists’ colour maker Jacques Blockx.

In his writings, Dalí refers to amber as the most precious vehicle, describing it as a “sublime” medium. More concentrated in the final layers, amber appears to have played a key role in the degradation process.

The role of chlorine contamination

Finally, the study considers the influence of chlorine detected across the entire surface and even on the original frame, pointing to environmental contamination. The highest concentrations coincide with areas rich in ZnO, zinc white. The researchers suggest a plausible scenario involving exposure to chloride salts (marine environment) during the transatlantic transport of the work shortly after it was shown in New York, at a time when some layers may still have been drying.

The analyses carried out as part of this study confirm that the work is no longer at any risk today: the observed degradation occurred very early, even before its acquisition by the Royal Museums of Fine Arts of Belgium. It results from a particular combination of factors: interactions between different paint layers, the use of an amber-based medium, and exposure to a chlorine-rich environment. As these processes are now stabilized, no special measures are necessary for displaying the painting to the public.

As a jewel of the museum collection, the work will once again be on view to visitors of the Royal Museums when it is reinstated in the new visitor route.

“The degradation occurred very early in the life of the work and is now stabilized: there is no risk whatsoever in displaying it to the public, stresses Catherine Defeyt, art historian, researcher at the European Centre of Archaeometry at ULiège and FED-tWIN Face-to-Face researcher at the Royal Museums of Fine Arts of Belgium (RMFAB).”

“This research also sheds light on Dalí’s technique: his use of amber, which he considered a “sublime” medium, played an unexpected role in the evolution of the painting, notes David Strivay, professor in the Faculty of Science and researcher at the European Centre of Archaeometry at ULiège.”

As a federal scientific institution, the Royal Museums of Fine Arts of Belgium study and promote an exceptional scientific, artistic and historical heritage. In this respect, Francisca Vandepitte, curator of modern art within the institution, welcomes the dual approach of this study, which made it possible to meet conservation requirements:

“A close link was established between the material and technical analyses carried out in the laboratory and the classical art-historical research conducted in archives and libraries. The unusual signs of ageing observed in the paint layer can be explained by the intrinsic nature of the work and by its history. These alterations have now stabilized, ensuring that visitors will continue to be able to appreciate the work fully in the future.”

YouTube - https://www.youtube.com/watch?v=uwX4C05mm80

 

How drones can find their way without seeing




Aerospace Information Research Institute, Chinese Academy of Sciences
Proposed CLAK framework for UAV localization in GNSS-denied environments. 

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Proposed CLAK framework for UAV localization in GNSS-denied environments.

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Credit: Satellite Navigation





When Global Positioning System (GPS) signals fail, drones can quickly lose their sense of place, especially in tunnels, dense cities, forests, or hostile environments. This study presents a new artificial intelligence framework, called CLAK (CNN-LSTM-Attention-KAN), that helps unmanned aerial vehicles (UAVs) estimate latitude, longitude, and elevation without relying on cameras or satellite navigation. Instead, it learns from non-visual onboard sensors, including LiDAR, barometric altitude, and inertial measurements. By combining spatial encoding, time-sequence learning, attention-based feature selection, and flexible nonlinear regression, the system sharply improves localization accuracy and remains lightweight enough for practical deployment in demanding conditions where visual methods may struggle. 

Accurate localization is essential for drone autonomy, but conventional Global Navigation Satellite Systems (GNSS)-based navigation is vulnerable to signal blockage, multipath interference, and spoofing. Visual localization methods can be highly accurate, yet they often require heavy computation, careful calibration, and favorable lighting and texture conditions. Their performance can deteriorate in low-light scenes, texture-poor landscapes, or resource-constrained platforms. Recent research has therefore moved toward lighter, sensor-efficient approaches that can still recover position under degraded conditions. Based on these challenges, more in-depth research is needed on robust non-visual, learning-based localization strategies for Unmanned Aerial Vehicles (UAVs) operating in GNSS-denied environments.

A team from Prince Sultan University in Saudi Arabia reported (DOI: 10.1186/s43020-026-00192-1) in Satellite Navigation in 2026 that its CLAK (CNN-LSTM-Attention-KAN) model can localize UAVs in GNSS-denied environments using only non-visual sensor streams. The study by Imen Jarraya and colleagues shows that by fusing LiDAR, barometric altitude, and inertial data through a hybrid CNN-LSTM-attention-KAN architecture, drones can recover global position with markedly improved precision across challenging simulated flight paths over the Taif region.

The researchers built CLAK as a four-stage deep learning pipeline. First, one-dimensional convolutional layers extracted short-term patterns from six input modalities derived from fused sensor streams. Next, stacked bidirectional LSTM layers modeled temporal dependencies in motion data. An attention module then highlighted the most informative moments in the sequence, while a Kolmogorov-Arnold Network, or KAN, performed the final nonlinear regression to predict latitude, longitude, and elevation. The model was trained on synthetic UAV data generated in a ROS2-based simulation environment integrating Gazebo, PX4, and QGroundControl, with terrain information taken from a digital elevation map of the Taif region in Saudi Arabia. In five-fold cross-validation, CLAK reduced MAE from 3.1953 m to 0.9042 m and RMSE from 6.9293 m to 2.3621 m compared with the LSTM baseline, while raising R² to 0.9979. In trajectory-level testing, it achieved average MAE of 0.800 m, RMSE of 1.915 m, and R² of 0.998, with up to 78.35% MAE reduction and 75.40% RMSE reduction on some routes.

According to the research team, CLAK stands out because it combines high-accuracy localization, millisecond-scale inference, and minimal sensor requirements in a single framework. The authors argue that its ability to generalize across different terrain types and flight patterns, without depending on vision, makes it a strong candidate for real-world deployment on resource-constrained UAVs. They also emphasize that the model’s unified design reflects the growing promise of learning-based autonomy for operational navigation in environments where satellite signals are unreliable or unavailable.

The implications extend well beyond navigation alone. Reliable non-visual localization could support drone missions in urban canyons, disaster zones, mountainous terrain, indoor facilities, and other places where Global Positioning System (GPS) is weak or absent and cameras may fail. Because the model avoids heavy visual processing while preserving strong accuracy, it may help enable safer, more energy-efficient autonomy on smaller aerial platforms. The authors also point to future work on lightweight KAN designs, pruning, quantization, knowledge distillation, broader field trials, and cooperative localization among multiple UAVs. Together, these directions suggest a path toward practical, scalable drone navigation systems that remain resilient when conventional positioning breaks down.

###

References

DOI

10.1186/s43020-026-00192-1

Original Source URL

https://doi.org/10.1186/s43020-026-00192-1

Funding information

We gratefully acknowledge the support of Prince Sultan University (PSU), Saudi Arabia.

About Satellite Navigation

Satellite Navigation (E-ISSN: 2662-1363; ISSN: 2662-9291) is the official journal of Aerospace Information Research Institute, Chinese Academy of Sciences. The journal aims to report innovative ideas, new results or progress on the theoretical techniques and applications of satellite navigation. The journal welcomes original articles, reviews and commentaries.

 

JMIR Publications highlights "moltbook" risks: The dangers of AI-to-AI interactions in health care




JMIR Publications
Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook 

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Tejas Athni, MS., JMIR Correspondent

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Credit: Tejas Athni, MS.





(Toronto, April 1, 2026) JMIR Publications today announced the release of a timely new article in its News and Perspectives section, examining the emerging risks of autonomous AI systems interacting within clinical environments. The article, "Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook," explores a critical new frontier: as high-risk AI agents begin to communicate directly with one another to manage triage and scheduling, they create a "digital ecosystem" that can operate beyond active human oversight.

Authored by Tejas S. Athni, JMIR Correspondent, the report uses the 2026 "Moltbook" experiment—a social network designed for AI-to-AI interaction—as a powerful proof-of-concept for the healthcare sector. The analysis warns that while these interconnected systems can improve efficiency, they also introduce a "lethal trifecta" of risks including the rapid propagation of errors, accelerated data leaks, and the spontaneous development of unintended hierarchies.

The Hidden Hazards of Interconnected Medical AI

The analysis points to several significant hurdles that arise when autonomous AI agents share data and decisions without a "human-in-the-loop":

  • The Propagation of Errors: In a networked system, a single misinterpretation by a diagnostic AI (e.g., mislabeling a fracture) can be blindly accepted and amplified by downstream agents responsible for bed allocation and triage, leading to systemic medical errors.

  • Accelerated Data Leaks: Interconnected agents often share or withhold data in ways unanticipated by their creators. Adversarial actors could exploit these "agentic" pathways to execute model inversion or membership inference attacks, compromising protected health information (PHI) at unprecedented speeds.

  • Emergent Hierarchies: Observations from Moltbook suggest that AI agents can spontaneously develop dominant or subordinate roles. In a hospital, an AI responsible for ICU allocation might begin to override diagnostic agents, creating de facto priorities that conflict with ethical standards and clinical protocols.

Toward Preventive Digital Health Design

The article argues for a proactive shift in how medical AI is built, moving away from reactive patching toward "preventive design." Experts suggest that as autonomous systems become integrated into health care, the focus must remain on transparency and robust safeguards.

To bridge this gap, the report calls for:

  • Human-Centric Guardrails: Reinforcing requirements for human validation (e.g., a radiologist reviewing an AI’s classification) before any autonomous decision is finalized.

  • Aggressive Stress-Testing: Utilizing red-teaming to uncover vulnerabilities in AI-to-AI communication protocols before they are deployed in live clinical settings.

  • Decision Audit Trails: Maintaining clear, trackable records of every interaction and decision made by autonomous agents to ensure accountability.

"The risks of AI-to-AI interactions must be taken seriously as autonomous systems become integrated into health care," the report concludes. "The Moltbook experiment offers a critical lens to ensure these digital dangers do not translate into real-world patient harm."

Please cite as:

Athni T

Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook

J Med Internet Res 2026;28:e96199

URL: https://www.jmir.org/2026/1/e96199 

DOI: 10.2196/96199

 

About JMIR Publications News and Perspectives

JMIR Publications is a leading open access publisher of digital health research. The News and Perspectives section is the newest addition to its portfolio, established to bring the rigor and integrity of academic publishing to scientific journalism. The section features well-researched, expert-driven content from the Scientific News Editor, Kayleigh-Ann Clegg, PhD, and a network of specialist JMIR Publications Correspondents to keep the digital health community informed, inspired, and ahead of the curve.

About JMIR Publications

JMIR Publications is a leading open access publisher of digital health research and a champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work. As a technology organization with publishing at its core, we provide innovative tools and resources that go beyond traditional publishing, supporting researchers at every step of the dissemination process. Our portfolio features a range of peer-reviewed journals, including the renowned Journal of Medical Internet Research

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The content of this communication is licensed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, published by JMIR Publications, is properly cited.