Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.