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 ...

While artificial intelligence (AI) has made remarkable achievements in domains like image recognition and natural language processing, it encounters fundamental challenges when trying to deal with ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...

LAUSANNE, Switzerland--(BUSINESS WIRE)--Neural Concept, the leading Engineering Intelligence platform that transforms product design with 3D Deep Learning, has announced that it has raised $27 million ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...

Our brains have an extraordinary ability to adapt and learn, a process known as neuroplasticity. From navigating a new city to mastering a new skill, neuroplasticity allows us to reshape our neural ...

For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...