Innovation

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Machine learning at the edge: A hardware and software ecosystem

Machine learning at the edge: A hardware and software ecosystem

Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's partner ecosystem exemplifies this, with hardware and software vendors like Alif and Neuton working together.

September 21, 2021 by

Pitfalls to Avoid when Interpreting Machine Learning Models

Pitfalls to Avoid when Interpreting Machine Learning Models

Modern requirements for machine learning models include both high predictive performance and model interpretability. A team of experts in explainable AI highlights pitfalls to avoid when addressing model interpretation, and discusses open issues for further research. Images created by Cristoph Molnar: https://twitter.com/ChristophMolnar/status/1281272026192326656

August 20, 2020 by

The coolest thing you didn't see at CES 2020

The coolest thing you didn't see at CES 2020

A stunning 8k, 3D display. And no glasses, thankfully, unlike the failed 3D TVs. Why didn't you see it? It wasn't on the show floor. But I did, high up in the Venetian, and I'm wondering why Apple doesn't buy these guys. Here's some, sorry, not 8K video of the display.

January 30, 2020 by

Rewriting the rules of robots

Tiernan Ray explains to Beth Mauder that all robots are programmed to avoid any kind of physical contact with people. MIT researchers proposes "safe" contact, such as a light brush between human and robot, could be tolerable and provide for interacting robots, such as a valet that can dress a person. Read more: https://zd.net/2V843jS

July 22, 2021 by