In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Yet the machine-learning techniques shown by Trachel and Peyrot remain helpful for tuning difficulty even when the foes that players face in the finished game don’t use it.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

US researchers are developing an AI-powered microscope system that could make soil health testing faster, cheaper, and more accessible to farmers and land managers around the world.

Ready to decode generative AI vs machine learning? Discover their differences and choose the best for your needs.

Below, 14 members of Forbes Technology Council share impactful, creative business use cases that leverage the combination of business intelligence and machine learning.