AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Discover SAP RPT-1, the relational foundation model that aims to make machine learning redundant with direct predictions on ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

SAN FRANCISCO, Nov. 12, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons ® announced new results for the MLPerf ® Training v5.1 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...