Thread is a mesh networking protocol that connects low-power smart home gadgets, and it’s one of Matter’s underlying ...

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...

It would be easy to be put off by the cost attached to OLED TVs, but here's some cost-effective screens that don't scrimp on quality.

AI is searching particle colliders for the unexpected ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

Abstract: In this work, we propose a Federated Learning (FL) method combining an ensemble of one-layer neural networks whose optimal parameters can be obtained through a non-iterative procedure.

Abstract: This research proposes a neural network-based super-twisting controller for robot joints. A modified fast nonsingular terminal sliding surface is introduced, which not only avoids ...

Figure 1. Neural networks can store and recall information. In a recall task where the desired output pattern is identical to the input pattern, several patterns can ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the ...

Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle to make discrete decisions under strict constraints, like routing vehicles or ...