A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Artificial neural networks (ANNs) have evolved into a cornerstone of computational intelligence, drawing inspiration from the intricate connectivity of the human brain. These architectures consist of ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have drawn heavily from the human brain’s architecture ...

The human brain is an astonishing organ, as any neuroscientist can attest. And its ability to collect, store, analyze and use information is intriguing to physicists, engineers and computer scientists ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

A new study by York University researchers has found a potential striking flaw in artificial intelligence (AI) models. Artificial neural networks (ANNs), a type of AI model built to solve vision tasks ...

Powerful edge computing alone cannot deliver the full potential of agentic AI. Without equally sophisticated networking, ...

Neural networks have emerged as powerful tools in the field of neutron spectrometry and dosimetry by offering non-linear, data‐driven approaches to reconstruct complex neutron energy spectra and ...

Can AI learn by shrinking? A new study introduces a development-inspired continual learning framework for spiking neural ...