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 ...

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 ...

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 ...

The method conceptualises neural models as collections of interconnected optimisation problems functioning across multiple levels.

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

The next generation of engineers and scientists is moving beyond conventional computing to master interdisciplinary fields.

LS Electric has signed a contract for a power solution business to supply electricity to an AI data center for a U.S. big ...