Previous columns in this series introduced the problem of data protection in machine learning (ML), emphasizing the real challenge that operational query data pose. That is, when you use an ML system, ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Former Intel Corp. executives Naveen Rao and Hanlin Tang have gotten back into the startup game, announcing the launch of a new company called MosaicML today that promises to optimize machine learning ...

Amazon has announced new, free courses in machine learning, offering all developers the same curriculum that it uses to train its own software engineers and data scientists. The company has over 30 ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine learning (ML) uses advanced mathematical models ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most artificial intelligence researchers agree that one of the key ...

There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.