Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Nvidia (NASDAQ: NVDA) is showing signs of renewed momentum and a potential breakout after an extended period of consolidation ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...