Semiconductor Engineering

Hypergraph-based Techniques To Map Spiking Neural Networks on Neuromorphic HW (Politecnico di Milano)

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...
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 ...
EurekAlert!

Bio-inspired heterogeneous learning framework enhances neural network accuracy, efficiency, and low-latency

At the neuron level, the inhibiting autapse is incorporated into the leaky integrate-and-fire neuron model, resulting in a highly parameterized microcircuit with memory ability. At the learning level, ...
Electronic Design

Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...
GEN

Brain Tumors’ Spiking Electrical Signals Reveal Overlooked Neuron-Glia Hybrids

Researchers at the Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at the Texas Children’s Hospital have uncovered a new cell type in the human brain. The team ...

AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
Science Daily

Laser-based artificial neuron mimics nerve cell functions at lightning speed

Researchers developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron, which could lead to new breakthroughs in ...