In this modern era, the rapid expansion of digital content has amplified the need for robust intellectual property (IP) ...

A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of Jerusalem has developed a novel machine learning model employing hyperspectral ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a widely recognized but poorly understood process in the field of machine ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions - a widely recognized but ...

2024 — Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a ...

The Nobel prize in Physics 2024 has been awarded to John J Hopfield and Geoffrey E Hinton “for foundational discoveries and ...

Hemang Manish Shah's research marks a transformative moment in the evolution of intellectual property protection, offering ...

Inspired by the human brain, artificial neural networks (ANNs) are a type of machine learning ... model—the type of deep learning model responsible for ChatGPT—that can determine a person’s thoughts ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...