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 ...

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.

Freedom challenges in ML beyond software Machine learning applications are only partially software. Each one includes software, plus data that is the result of training. Such data can be referred to ...

The STAC Machine Learning Model (MLM) Extension provides a standard set of fields to describe machine learning models trained on overhead imagery and enable running model inference. The main ...