As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...

After years of trying, the electronic nose is finally making major progress in sensing smells, almost as well as its human ...

The next competitive edge won’t come from brute force. It will come from systems that think more like markets themselves ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These ...

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

Engineers in China unveiled a new generation of brain-like computer that mimics the workings of a macaque monkey’s brain. Called Darwin Monkey, the system reportedly supports over 2 billion spiking ...

Polyn will demonstrate its ultra-low-power neuromorphic analog signal processing (NASP) chip for edge AI applications at CES ...

A new neuromorphic processor brings AI computation into the analog domain, performing real-time inference in microseconds ...

Intel’s new Loihi chip is designed in a manner that mimics the way a living animal’s brain functions. Communication within the new artificial brain happens via a series of “spikes” rather than in the ...

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...