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He uses novel computer designs to make AI less power hungry.

He uses novel computer designs to make AI less power hungry.

Manuel Le Gallo AGE: 34 AFFILIATION: IBM RESEARCH COUNTRY OF BIRTH: CANADA Training a typical natural-language processor requires so much computing power that it emits as much carbon as the life span of five American cars. Training an image recognition model releases as much energy as …Continue reading

In 2020, let’s stop AI ethics-washing and actually do something

Last year, just as I was beginning to cover artificial intelligence, the AI world was getting a major wake-up call. There were some incredible advancements in AI research in 2018—from reinforcement learning to generative adversarial networks (GANs) to better natural-language understanding.

Google and Others Are Building AI Systems That Doubt Themselves

The most powerful approach in AI, deep learning, is gaining a new capability: a sense of uncertainty. Researchers at Uber and Google are working on modifications to the two most popular deep-learning frameworks that will enable them to handle probability.

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