Are Better Machine Training Approaches Ahead?

By Bryon Moyer - 01 Jul, 2020 - Comments: 1

We live in a time of unparalleled use of machine learning (ML), but it relies on one approach to training the models that are implemented in artificial neural networks (ANNs) — so named because they’re not neuromorphic. But other training approaches, some of which are more biomimetic than others, are being developed. The big question remains whether any of them will become commercially viab... » read more

Using ML In Manufacturing

By Ed Sperling - 23 Jun, 2020 - Comments: 0

How to prevent early life failures by applying machine learning to different use cases, and how to interpret models for different tradeoffs on reliability. Jeff David, vice president of AI solutions at PDF Solutions, digs down into how to utilize data to improve reliability. » read more

Making AI More Dependable

By Ed Sperling - 07 May, 2019 - Comments: 0

Ira Leventhal, vice president of Advantest’s new concept product initiative, looks at why AI has taken so long to get going, what role it will play in improving the reliability of all chips, and how to use AI to improve the reliability of AI chips themselves. » read more

Knowledge Centers
Entities, people and technologies explored

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Megafabs churning out the most advanced processors are not the only game in town.

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tag: unsupervised learning

Are Better Machine Training Approaches Ahead?

Using ML In Manufacturing

Making AI More Dependable