Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Across neuroscience, biomedical engineering and artificial intelligence, researchers from Carnegie Mellon University are exploring how pain is measured, understood and treated to support safer, more ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

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The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Raises questions about the widespread belief that the structures of genetic networks are driven entirely by adaptive processes. Provides an overview of the empirical evidence for the evolution of ...

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...