Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Save big with 11 AI tools offering valuable student discounts, covering study support, productivity, design, and development ...

Ph.D. student Ziqi Zhang has built a career blending machine learning with single-cell biology. His work helps scientists study cellular mechanisms that advances disease research and drug development.

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

CISPA researcher Tejumade Àfọ̀njá has co-authored a new international study that uses food as a starting point to reveal ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled “SAMP ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Microsoft has officially opened the source code of the original Zork trilogy—Zork I, Zork II and Zork III—making the foundational text-adventure games freely available under the MIT licence. The ...