The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Researchers at the Institute of Science Tokyo have developed a neural-network-based 3D imaging technique that can precisely ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...

A new kind of processor that uses microwaves can be used in future AI systems or in wireless communications, a new study ...

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

The chip is capable of solving simple logic operations and advanced computations, such as recognizing binary sequences or identifying patterns in high-speed data with an 88% accuracy rate.

Classic cybersecurity tools are nearly powerless against semantic attacks. Signature detection, hashing, and code audits all depend on identifying explicit changes in code or data, but meaning-level ...

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.

The pointy shell of sea urchins hides a remarkably complex neural network that resembles the brains of vertebrates, new research suggests.