Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Dynamical models, mathematical or computational approaches for describing ... introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that addresses some of ...

Scientists develop new mathematical model for transfer learning in neural networks. Story by Science X ... there aren't enough examples available to properly train a neural network," explains ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

The principle behind neural networks ultimately reduces to a simple mathematical task. You want to generate an output ( y )—for example, the image description—for certain input data ( x1, x2 ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.