A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

Bittensor’s native cryptocurrency TAO climbed sharply on March 13, posting gains of about 12 per cent as enthusiasm around decentralised artificial intelligence networks and new training activity on ...

An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed ...

During AY2025-2026 the CUNY Office of Research funded 16 Research in the Classroom (RIC) grants for faculty to incorporate authentic research activities into their undergraduate courses. This ...

Research by Ranga Raya Reddy Eragamreddy reveals how AI orchestration improved EV energy platform workflows and reduced costs.

With cloud spending expanding and AI’s share of workloads rising, the next year will test whether organizations can translate cloud complexity into operational discipline and measurable value.

Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...