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

AI is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

Discover how brain-inspired AI models bridge human cognition and machine intelligence. Explore next-gen neural design. Learn ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Synthetic data delivers clean, scalable and customizable datasets that can augment—or even replace—traditional data in key ...

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

How does access control ensure users see only what they’re allowed to when AI blends data from multiple sources?

Generative AI is making its presence felt across academia, but its impact is most pronounced in computer science. The ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

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