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

Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

Structure verification by NMR is a vital task in drug discovery but can be slow and subjective. This article explores how ASV ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Designed to support clinicians with same-day assessments, the platform aims to improve outcomes while reducing reliance on ...

Microsoft prepares for security in a world where our old codes are easily broken. Get familiar with these technologies now ...

Effective pest management begins with accurate identification. Misidentifying pests can lead to wasted chemical use, harm to ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Build AI into your enterprise content and knowledge management platform with 5 APIs that help you base your AI on enterprise ...

This article outlines the various code storage flash technologies used today and their contribution to platform cybersecurity ...