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 ...
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 ...
Hackaday

Spiking Neural Network

Recently the [Global Science Network] released a video of using an artificial brain to control an RC truck. The video shows a neural network comprised of eight artificial neurons assembled on ...
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 ...
EurekAlert!

Photonic integrated neuro-synaptic core for convolutional spiking neural network

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.230140 discusses photonic integrated neuro-synaptic core for convolutional spiking neural network. Brain science and brain-like ...

Researchers make “neuromorphic” artificial skin for robots

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...
Semiconductor Engineering

A Survey Of Recent Advances In Spiking Neural Networks From Algorithms To HW Acceleration

A technical paper titled “Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology” was published by researchers at Intel Labs, University of ...
Cambridge Network

42 Technology and Innatera partner to advance neuromorphic Edge AI

42 Technology is partnering with Innatera, a leader in brain-inspired Edge AI processors, to help its clients access the ...
PC Magazine

spiking neural network

An artificial neural network (ANN) that is said to be more like the human neural system, on which today's AI systems are loosely modeled. Rather than each neuron sending out a continuous value, the ...