Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

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.

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

Deep learning applications can be viewed as a more sophisticated deployment of basic neural networks that make heavy use of machine learning algorithms, are inspired by the human mind, can keep ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

Machine learning required enormously powerful computers capable of handling vast amounts of information. It takes millions of images of dogs for these algorithms to be able to tell a dog from a cat.

Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are actually very different.

This is a variant of machine learning that uses multi-layered artificial neural networks to recognize complex patterns and correlations in large amounts of data. The seven best teams from the autoPET ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...