EurekAlert! In the Spotlight - Artificial Intelligence

Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.

This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.

Latest News Releases

Updates every hour. Last Updated: 3-Nov-2026 15:16 ET (3-Nov-2026 20:16 GMT/UTC)

4-Jun-2026

American College of Lifestyle Medicine names Dr. John Findley chief executive officer

American College of Lifestyle Medicine
Business Announcement

Dr. Findley of Bentonville, Ark., brings more than 20 years of experience advancing whole-person health, value-based care, and healthcare transformation, with deep expertise in health system redesign, population health, and interdisciplinary care models that improve outcomes while reducing the burden of chronic disease.

4-Jun-2026

IMDEA Networks secures four SNS JU projects to advance Europe’s 6G future

IMDEA Networks Institute
Grant and Award Announcement

IMDEA Networks has been granted funding for four projects under the Smart Networks and Services Joint Undertaking (SNS JU), reinforcing its position as one of Europe’s leading research centers in 6G innovation. This year we have a 50% success rate in the proposals, and we participate in 20% of the projects selected in the call.

4-Jun-2026

Wafer-scale nanoforests decode silent speech into text in real time

International Journal of Extreme Manufacturing
Peer-Reviewed Publication

In International Journal of Extreme Manufacturing, researchers have created a wearable sensor that reads the chemical signature of human breath to translate silent mouth movements into text. Built on standard silicon wafers, the device uses a microscopic, tree-like structure to capture the rapid water vapor changes that occur when a person mouths words.

Journal: International Journal of Extreme Manufacturing

4-Jun-2026

UC San Diego team pairs AI with tiny optical device to correct distorted light for sharper imaging

University of California - San Diego
Peer-Reviewed Publication

UC San Diego engineers have created a tiny optical device that pairs with AI to spot and correct distorted light from a single image, a breakthrough that could sharpen imaging in fields from biology to manufacturing.

Journal: Nature Communications
Funder: Arnold and Mabel Beckman Foundation, Alfred P. Sloan Foundation, Gordon and Betty Moore Foundation, Air Force Office of Scientific Research, Silicon Valley Community Foundation, Silicon Valley Community Foundation

4-Jun-2026

Digital platforms and AI

European Alliance of Associations for Rheumatology (EULAR)
Reports and Proceedings

Using artificial intelligence and digital initiatives to amplify voices

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EULAR – The European Alliance of Associations for Rheumatology – works with the network of national organisations of People with Arthritis/Rheumatism in Europe (PARE) to ensure the voices of people with RMD are heard and have influence – creating powerful alliances that make a real difference. Artificial intelligence (AI) is another potential ally in that fight. At the EULAR 2026 Congress in London, work was presented from three PARE initiatives that showcase how digital tools can be used in treatment education and decision-making, and potentially avoid the use of general web searches to answer important questions.

4-Jun-2026

AI-powered cardiomyocyte ploidy assessment: CardioNVT enables high-throughput in situ analysis without immunostaining

Science China Press
Peer-Reviewed Publication

CardioNVT is an end-to-end deep learning platform for rapid, immunostaining-free assessment of cardiomyocyte nuclear ploidy in situ. Using only DAPI-stained heart sections, it segments cardiomyocyte nuclei, tracks them across z-stack planes, reconstructs 3D nuclear volumes, and infers ploidy from volume measurements, enabling scalable studies of cardiac development, remodeling, and repair.

Journal: Science Bulletin

4-Jun-2026

Physics-trained digital ‘super-brain’ speeds up technology development

Chalmers University of Technology
Peer-Reviewed Publication

Studying physics can be very useful – even when it comes to machine learning. A digital ‘super-brain’ with built-in knowledge of the fundamental laws of nature can speed up the development of optical components for everything from quantum computers to eyeglass or camera lenses according to a new study from Chalmers University of Technology in Sweden.

“When we fed the super-brain information about the laws of physics, it immediately got much smarter. Our calculations now take one tenth of the time previously required,” says Philippe Tassin, professor at the Department of Physics and Astronomy, Chalmers University of Technology.

Journal: Laser & Photonics Review
Funder: the Knut och Alice Wallenberg Stiftelse, Swedish Research Council, Excellence Center META-PIX, Chalmers' area of advance Nano