The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug discovery.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

A multinational research team, including engineers from the University of Cambridge and Zhejiang University, has developed a ...

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Astronomers are excited about the first test images released today from the Vera C. Rubin Observatory, which show the ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

An unexpectedly strong solar storm rocked our planet on April 23, 2023, sparking auroras as far south as southern Texas in ...

Orlen’s work with Microsoft covers software licences, cloud services, workshops, and training. It supports Orlen’s $105bn ...

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.

Satellite data services market is rapidly evolving, driven by breakthroughs like satellite-to-cell connectivity and AI-powered analytics. Proliferate ...