Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Tech Xplore

Benchmarking framework reveals major safety risks of using AI in lab experiments

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Compliance WeekOpinion

How banks are responsibly embedding machine learning and GenAI into AML surveillance

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Structure-based RNA could lead to treatment for neuromuscular disorders

Researchers from Carnegie Mellon University have discovered a way to target RNA that could lead to new treatment options for ...
Frontiers

Machine learning-driven prediction of intratumoral tertiary lymphoid structures in hepatocellular carcinoma using contrast-enhanced CT imaging and integrated clinical data

Purpose: We developed a machine learning framework to predict the presence of tertiary lymphoid structures (TLSs) within tumors in patients with hepatocellular carcinoma (HCC). This framework uses ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
Frontiers

Structure-based prediction of SARS-CoV-2 variant properties using machine learning on mutational neighborhoods

This dataset presents a structure-enriched resource of theoretical and empirical SARS-CoV-2 spike receptor-binding domain (RBD) variants, developed under the STAYAHEAD project for pandemic ...
Medical Xpress

Using machine learning and big data in academic medicine

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...
unite

From AI to Organoids: How Growing Brain-like Structures are Advancing Machine Learning

Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very different. In 2025, they are growing brain organoids, which are small, living ...