I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, has attracted much ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

More information: Daniil A. Boiko et al, Advancing molecular machine learning representations with stereoelectronics-infused molecular graphs, Nature Machine Intelligence (2025).

Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society. Cardiovascular medicine is at the ...

Machine Learning Health Operations (MLHOps) is the combination of processes for reliable, efficient, usable, and ethical deployment and maintenance of machine learning models in healthcare settings.