EurekAlert! In the Spotlight

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: 19-Nov-2025 03:11 ET (19-Nov-2025 08:11 GMT/UTC)

18-Jun-2025

AI to help emergency departments and bilingual patients speak the same language

University of New South Wales

A multilingual chatbot could lead to better triage assessments at hospitals in multicultural areas and better outcomes for linguistically diverse patients across Australia.

Funder: NHMRC Ideas Grant

18-Jun-2025

UTA taps AI to help cancer survivors get moving

University of Texas at Arlington
Grant and Award Announcement

A team of researchers at The University of Texas at Arlington has received a grant from the Cancer Prevention and Research Institute of Texas, known as CPRIT, to tackle the critical issue of low physical activity among cancer survivors.[CJM1] Regular exercise can significantly improve survivors’ quality of life and reduce their risk of death, yet up to 84% don’t get enough to see these benefits.[CJM2]

18-Jun-2025

Cognitive tests in infancy can offer insight into intelligence at age 30 and beyond

University of Colorado at Boulder
Peer-Reviewed Publication

A new study of 1,000 twins followed since infancy shows that measurements of general cognitive ability at 7 months of age can help predict what it will be 30 years later. The study also found that polygenic scores based on DNA can be a useful tool for studying cognitive ability across the lifespan.

Journal: Proceedings of the National Academy of Sciences

18-Jun-2025

Unpacking the bias of large language models

Massachusetts Institute of Technology
Reports and Proceedings

MIT researchers discovered the underlying cause of position bias, a phenomenon that causes large language models to overemphasize the beginning or end of a document or conversation, while neglecting the middle. They built a theoretical framework that can be used to diagnose and correct position bias in future model designs, leading to more accurate, reliable AI agents.

Funder: Office of Naval Research, National Science Foundation, Alexander von Humboldt Professorship

18-Jun-2025

New 3D chips could make electronics faster and more energy-efficient

Massachusetts Institute of Technology
Reports and Proceedings

A low-cost, scalable fabrication technology developed at MIT can integrate fast, efficient gallium nitride transistors onto a standard silicon chip, which could boost the performance of electronic chips used in high-bandwidth applications like video calling and real-time deep learning.

Funder: U.S. Department of Defense through the National Defense Science and Engineering Graduate (NDSEG) Fellowship Program, CHIMES, Semiconductor Research Corporation Program by the Department of Defense and the Defense Advanced Research Projects Agency (DARPA), MIT.Nano, Air Force Research Laboratory

18-Jun-2025

Seeing through a new LENS allows brain-like navigation in robots

Queensland University of Technology
Peer-Reviewed Publication

QUT robotics researchers have developed a new robot navigation system that mimics neural processes of the human brain and uses less than 10 per cent of the energy required by traditional systems.

Journal: Science Robotics

18-Jun-2025

New all-silicon computer vision hardware by UMass researchers advances in-sensor visual processing technology

University of Massachusetts Amherst
Peer-Reviewed Publication

Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, silicon-based hardware that can both capture and process visual data in the analog domain. Their work, described in the journal Nature Communications, could ultimately add to large-scale, data-intensive and latency-sensitive computer vision tasks.

Journal: Nature Communications
Funder: U.S. National Science Foundation