Tech Xplore on MSN

A new route to optimize AI hardware: Homodyne gradient extraction

A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make ...
EuropaWire

University of Twente Advances Neuromorphic Computing with Hardware-Based Learning Method Free of Backpropagation

The University of Twente’s BRAINS Center for Brain-Inspired Computing has developed a groundbreaking hardware-based learning method that enables electronic materials to adapt without using ...
Diginomica

Generative AI needs better context - you can't talk about Large Language Models without reverse neural networks and backpropagation

The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...
EurekAlert!

Backpropagation training achieved in photonic neural network

Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...
Quanta Magazine

Neuron Bursts Can Mimic Famous AI Learning Strategy

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

Software optimizes brain simulations, enabling them to complete complex cognitive tasks

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...