macOS Tahoe 26.2 will give M5 Macs a giant machine learning speed boost

Machine learning researchers using MLX will benefit from speed improvements in macOS Tahoe 26.2, including support for the M5 GPU-based neural accelerators and Thunderbolt 5 clustering.

Want to keep your brain from aging? Try a cognitive workout

Scientists have found the first compelling evidence that cognitive training can boost levels of a brain chemical that ...
EurekAlert!

How the brain learns and applies rules: sequential neuronal dynamics in the prefrontal cortex

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
GitHub

PeriodicWave: Neural Network Variational Monte Carlo for Solids

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
AOL

BET CEO says network has 'suspended' Soul Train and Hip-Hop Awards

BET has reportedly suspended the Soul Train and Hip-Hop Awards, two of its annual music awards shows. "So for BET linear, we have suspended the Soul Train and Hip-Hop award shows," BET CEO Scott Mills ...
IEEE

Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning

Abstract: Training graph neural networks (GNNs) on large graphs is challenging due to both the high memory and computational costs of end-to-end training and the scarcity of detailed node-level ...
SciELO

Prediction of Microstructural and Mechanical Properties of Steel Welds with Artificial Neural Networks

In the field of materials science, the application of machine learning, particularly neural networks inspired by the human brain, has gained significant traction in recent years. One of the key ...
IEEE

Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes

Abstract: Training neural networks (NNs) to behave as model predictive control (MPC) algorithms is an effective way to implement them in constrained embedded devices. By collecting large amounts of ...
www.cs.cmu.edu

Grounding Neural Inference with Satisfiability Modulo Theories: Leveraging Theory Solvers for Machine Learning

Modern AI excels at pattern recognition but suffers when faced with logical reasoning tasks. What happens when we ask a neural network to solve a Sudoku puzzle from an image, verify a mathematical ...