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: 13-May-2026 20:15 ET (14-May-2026 00:15 GMT/UTC)

5-Feb-2026

Invariant graph learning meets information bottleneck for out-of-distribution generalization

Higher Education Press
Peer-Reviewed Publication

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has recently emerged as a promising approach for OOD generalization. However, the exploration within graph data remains constrained by the complex nature of graphs. The invariant features at both the attribute and structural levels, combined with the absence of prior knowledge regarding environmental factors, make the invariance and sufficiency conditions of invariant learning hard to satisfy on graph data. Existing studies, such as data augmentation or causal intervention, either suffer from disruptions to invariance during the graph manipulation process or face reliability issues due to a lack of supervised signals for causal parts.

Journal: Frontiers of Computer Science

5-Feb-2026

Exploiting large language model with reinforcement learning for generative job recommendations

Higher Education Press
Peer-Reviewed Publication

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that rely on fixed candidate sets, GRSs leverage generative capabilities, making them more effective in exploring user interests.

Journal: Frontiers of Computer Science

5-Feb-2026

Insilico Medicine nominates ISM5059, the peripheral-restricted NLRP3 inhibitor as preclinical candidate

InSilico Medicine
Business Announcement

NLRP3 is a validated anti-inflammatory target that mediates the release of proinflammatory cytokines IL-1β and IL-18, and ISM5059 targets systemic inflammatory conditions by targeting NLRP3 and blocking the inflammatory cascade at its source.

Unlike ISM8969, Insilico’s brain-penetrant NLRP3 pipeline already with FDA IND clearance, ISM5059 features a completely different chemical core designed for peripheral-restricted potency.

Empowered by AI, ISM5059 demonstrated robust efficacy, excellent safety profiles in preclinical studies, and low predicted human efficacious dose, with high potential in multiple indications including autoimmune and chronic cardiometabolic diseases with no obvious CNS (central nervous system) related toxicity observed in preclinical studies.

5-Feb-2026

Extreme temperature changes increase number of out-of-hospital cardiac arrests, model finds

Michigan Medicine - University of Michigan
Peer-Reviewed Publication

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can influence the risk of OHCA.

Journal: npj Digital Medicine
Funder: Japan Society for the Promotion of Science, Takeda Science Foundation

5-Feb-2026

Making light “think” in negatives: A fully real-valued optical chip for generative model

Higher Education Press
Peer-Reviewed Publication

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation of non-negative light intensity to enable efficient, on-chip image generation.

Journal: Frontiers of Optoelectronics

5-Feb-2026

Researchers validate AI tool that can predict which trauma patients need blood transfusions before they reach hospital

UCD Research & Innovation
Peer-Reviewed Publication

Study shows AI can enable earlier identification of blood transfusion need in trauma patients, with models trained and validated using data from over 400,000 patients across North America and Europe.

Journal: The Lancet Digital Health

5-Feb-2026

Peak mental sharpness could be like getting in an extra 40 minutes of work per day, study finds

University of Toronto
Peer-Reviewed Publication

A new U of T Scarborough study finds that being mentally sharp can translate into a productivity boost equivalent to about 40 extra minutes of work each day.

Journal: Science Advances