VentureBeat

OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Business Wire

Cerebras and Neural Magic Unlock the Power of Sparse LLMs for Faster, More Power Efficient, Lower Cost AI Model Training and Deployment

SUNNYVALE, Calif. & CAMBRIDGE, Mass.--(BUSINESS WIRE)--Cerebras Systems, the pioneer in accelerating generative AI, and Neural Magic, a leader in high-performance enterprise inference servers, today ...
Nature

Neural Network Optimization and Convergence Analysis

Recent advancements in neural network optimisation have significantly improved the efficiency and reliability of these models in handling complex tasks ranging from pattern recognition to multi-class ...
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 at Sandia National Lab. Abstract “The finite element method (FEM) is one of ...
EurekAlert!

Bayesian neural network evaluation method on the neutron-induced fission product yields of Thorium-232

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...