Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Even after hospitals strip out names and zip codes, modern AI can sometime still work out who patients are. Great news for insurance companies; not so much for healthcare recipients. New research from ...

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: ...

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.

Cambridge researchers have become the first to combine multiple image types—RGB (that mimics human vision), depth and ...

Artificial intelligence can feel like an abstract concept—something that happens inside massive data centers or behind the scenes of popular ...

Master AI hackathons with this comprehensive playbook on Vibe Coding. Learn how to build winning AI hackathon apps using AI ...

Niral Shah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...