neuromorphic-computing

The main goal of the field of neuromorphic computing is to build machines that emulate aspects of the brain in its ability to perform complex tasks in parallel and with great energy efficiency. Thanks to new computing architectures, these machines could revolutionize high-performance computing and find applications to perform local, low-energy computing for sensors and robots. The use of organic …

Learn what neuromorphic computing is, how brain-inspired chips process information using spiking neural networks, and why this architecture matters for energy-efficient AI at the edge.

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Unlocking the brain’s “magic” in tech is the job of neuromorphic computing and three scientists at UT San Antonio’s MATRIX AI Consortium who are working toward that goal — as they also seek ways to make AI trustworthy. “In a nutshell, neuromorphic computing is trying to approach computing inspired by how the brain works,” said William Severa, PhD, associate professor in […] The post Podcast: The …

POLYN Technology, a pioneer in ultra-low-power neuromorphic computing, today announced the successful manufacturing and testing of the world’s first silicon-proven implementation of its unique NASP (Neuromorphic Analog Signal Processing) technology. The post POLYN Technology Announces First Silicon-Implemented NASP Chip appeared first on Semiconductor Digest .

BrainChip Holdings Ltd today announced a collaboration with Onsor Technologies to enable an innovative approach using neuromorphic computing to predict epileptic seizures utilizing the Akida Platform in a wearable design. The post BrainChip Collaborates with Onsor Technologies appeared first on Semiconductor Digest .

A team of Korean researchers is making headlines by developing a new memory device that can be used to replace existing memory or used in implementing neuromorphic computing for next-generation artificial intelligence hardware for its low processing costs and its ultra-low power consumption. The post KAIST Researchers Developed a Novel Ultra-Low Power Memory for Neuromorphic Computing​ appeared f…

Neuromorphic computing, inspired by the structure of the human brain, aims to overcome the limitations of traditional computing architectures by more closely integrating processing and memory functions. It is believed that this approach is a step towards dramatically improving the efficiency of artificial neural networks by in-memory computing. Specifically, compared to conventional graphics proc…

The NeuRRAM chip is the first compute-in-memory chip to demonstrate a wide range of AI applications at a fraction of the energy consumed by other platforms while maintaining equivalent accuracy. The post A New Neuromorphic Chip for AI on the Edge, At a Small Fraction of the Energy and Size of Today’s Compute Platforms appeared first on Semiconductor Digest .

Neuromorphic computing is an approach to hardware design and algorithms that seeks to mimic the brain. The concept doesn’t describe an exact replica, a robotic brain full of synthetic neurons and artificial gray matter. Rather, experts working in this area are designing all layers of a computing system to mirror the efficiency of the brain. Compared to conventional computers, the human brain bare…