Artificial General Intelligence (AGI) has long been an elusive goal, the holy grail of artificial intelligence. While ...

The concept of an AI takeover has often been portrayed in science fiction, but with rapid advancements in artificial ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification ...

Artificial neural networks are typically trained using data that closely resembles the task they're intended to perform.

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

Artificial neural network (ANN) systems performed better at predicting future frames of a movie when trained on retinal waves mimicking the spontaneous activity patterns of the retina in animals ...

An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to ...

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 ...

John Hopfield and Geoffrey Hinton won the Nobel Prize in Physics for their work on artificial neural networks and machine learning. Jonathan Nackstrand / AFP via Getty Images A pair of scientists ...

By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.