Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors.

Research into alternative computer architectures is getting a new boost thanks to work by Sandia National Laboratories.

Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National ...

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 ...

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Joseph Friedman, associate professor of electrical and computer engineering at the University of Texas at Dallas, uses a probe station to test small neuromorphic devices. Friedman has developed a ...

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 cognitive. That ...

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 ...