A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

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.

Innatera says its new chip, Pulsar, can deliver as much as 100 times lower latency and 500 times lower power consumption that conventional processors used for artificial intelligence applications.

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the battery life in smart devices. When you purchase through links on our site, we ...

What’s the difference between analog and digital spiking neural networks (SNNs)? Why analog and digital SNNs are complementary. Details about Innatera’s Pulsar SSN-based microcontroller. Spiking ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...