We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
SAN FRANCISCO, Nov. 12, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons ® announced new results for the MLPerf ® Training v5.1 ...
Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...
We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
Top-ranked UFC featherweight contender Jean Silva is looking sharp just a few weeks out from the biggest fight of his career. The “Fighting Nerds” star is undefeated since joining the UFC off of Dana ...
Abstract: In recent years, High Entropy Alloys (HEAs) have gained significant interest due to their unique properties such as high strength, wear resistance, and high temperature stability. However, ...
Purpose End-to-end ML lifecycle management and MLOps Unified data analytics and business intelligence platform Unified platform for building and deploying AI solutions Model Deployment Supports ...
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