Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Computer Weekly

Tokyo University of Science sets pace in neural networks on edge IoT

The University of Science has revealed it has developed a binarised neural network (BNN) scheme using ternary gradients to address the computational challenges of internet of things (IoT) edge devices ...
Hosted on MSN

Curved neural networks enable AI memory recall through geometric design

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...
News Medical

Detecting causality in neural spike trains using a new technique

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ultimately dictate how information is processed, transmitted, stored, and ...
PC Gamer

Patent document shows AMD started researching the use of neural networks in ray-traced rendering at least two years ago

Processors Move over, GPUs and CPUs: AMD is looking into creating AI accelerator cards to improve the neural performance of ordinary PCs Graphics Cards AMD CEO Dr. Lisa Su says she can see AI 'helping ...