The field of neural models of perception and learning has witnessed substantial progress in recent years, combining insights from computational neuroscience, cognitive psychology and artificial ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers has programmed these infomorphic neurons and constructed artificial ...

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, ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

There is no special treatment for neural networks when it comes to UK patenting of computer related inventions. That is the essence of the English Court of Appeal’s conclusion, led by a Judge with a ...

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 ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. The term “artificial intelligence” was coined seventy years ago, ...