Opinion: Akerman's Melissa Koch explains why the quality of data in legal artificial intelligence matters more than the ...

Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have ...

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

Every protein in the body is encased in a water shell that directs protein structure, provides vital stability and steers ...

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

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and multi-granularity ...

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 ...

As enterprises expand into a multi-cloud ecosystem, the need for role-based data masking is growing exponentially. IT leaders ...

The market, securities markets, is more than just numbers and tickers. It is a living ecosystem of opportunities and risks, ...

Designed to support clinicians with same-day assessments, the platform aims to improve outcomes while reducing reliance on subjective evaluation. Supported by BARDA and classified as a Breakthrough ...