Semiconductor Engineering

Sparse Finite Element Problems on Neuromorphic HW (Sandia National Lab)

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

Neuromorphic Chips and 'Brain‑Like' Computing: How Next‑Gen Chips May Change Phones, Robots, and IoT Devices

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
Frontiers

Neural Network Dynamics: Unraveling Spiking and Synaptic Plasticity in Learning and Memory

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

Researchers get spiking neural behavior out of a pair of transistors

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 ...
Hosted on MSN

Spiking Neural Network Chip for Smarter Sensors

Innatera says its new chip, Pulsar, can lower latency to as little as one-one-hundredth that of conventional processors and consume only one-five-hundredth the power they use for artificial ...
Electronic Design

For Ultra-Low-Power Neural Networks, Try Spiking Neural Networks

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 ...
Wired

Liquid AI Is Redesigning the Neural Network

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 ...