Curious about deep learning AI? Here’s your guide on deep learning, how it works and how it is deeply associated with the artificial intelligence world.

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

Differences Between Deep Learning and Generative AI Deep learning and generative AI are two distinct subsets of artificial intelligence (AI) with different approaches, goals, and applications.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...

Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a ...

Deep Learning (DL) is, in essence, Machine Learning on steroids. It’s a specialized subfield that focuses on algorithms inspired by the structure of the brain, known as artificial neural networks.

Researchers have developed and validated a deep learning algorithm that can identify and outline ('segment') a non-small cell lung cancer (NSCLC) tumor on a computed tomography (CT) scan within ...

Deep Mind has extended AlphaZero to mathematics to unlock new possibilities for research Algorithms.

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

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...