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 ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

The Hertz Foundation is proud to recognize the 16 most recent graduates of the Hertz Fellowship in applied science, mathematics and engineering.

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

In January this year, an announcement from China rocked the world of artificial intelligence. The firm DeepSeek released its ...

A team of researchers has built one of the most detailed open maps of emerging technologies yet assembled, allowing ...

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...