FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

A Lawrence Livermore National Laboratory (LLNL)-led team of scientists and computational engineers using one of the largest electronic health record datasets ever assembled for ALS has identified ...

A Lawrence Livermore National Laboratory (LLNL)-led team of scientists and computational engineers has identified several existing medications that ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

As of 1 March 2026, Ulrich Zierahn-Weilage is appointed as Professor of Applied Economic Data Research Methods at the Utrecht University School of Economics (U.S.E.).

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

Advisor: Kelilah L. Wolkowicz, Ph.D., Assistant Professor, Department of Mechanical & Industrial Engineering, UMass Lowell Co-Advisor: Mohammad Arif Ul Alam, Ph.D ...

QML-HCS is a research-grade framework for constructing, simulating, and analyzing quantum-inspired machine learning architectures with hypercausal feedback mechanisms. It integrates deterministic ...