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 ...

AI is bulldozing its way across industry and education. CEOs are pressured to adapt and integrate as AI's ubiquity becomes ...

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 ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

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

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

China is the most important—perhaps decisive—enabler of Russia’s war machine. WorldRussiaGeopoliticsChina ...