Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Large language models, which use machine learning to predict the next word (or word fragment) in a string of text, are built with “deep” neural networks with billions or even trillions of parameters.

Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

TensorFlow is Google's open-source AI framework used for machine learning and deep learning applications.

Deep learning is a branch of AI—specifically, a subset of machine learning (ML) —that involves the use of artificial neural networks to autonomously learn complex patterns and make intelligent ...

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

Maddison’s research focuses on the development of numerical methods for applications in deep learning and machine learning. He uses muffin-baking as an unlikely analogy to explain his line of inquiry.

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...