Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Scientists have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of ...

A recent study from Baylor College of Medicine and Texas Children’s Hospital has identified a specific neural activity pattern as a novel biomarker to accurately predict and monitor the clinical ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

When thinking about future events, optimists' brains work similarly, while pessimists' brains show a much larger degree of individuality. The Kobe University finding offers an explanation why ...

Artificial Intelligence is morphing itself to the requirements of our enterprise applications and our consumer interests at the same time. As the number and type of AI services continue to grow, data ...