Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

Mythic's analog compute-in-memory architecture to deliver 100x energy efficiency, targeting 100,000+ TOPS of AI performance for safer, smarter vehicles under Honda's "Carbon Neutral" and "Zero Traffic ...

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AI systems learn new tasks more effectively when internal self-talk helps keep goals clear and reuse past knowledge instead ...

Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning ...