This week in AI & Machine Learning: AI policies for US government, FDA AI grant, Fully Driverless Autonomous Vehicles, how to build a dataset for computer vision, pytorch lighting, tensorflow, fastai, and more.
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As far as I know, this is the first official artificial intelligence post on the USDA.gov website, which is very exciting! Hopefully it’s the first of many! Scientists, funded by a $20 million grant from the USDA’s National Institute of Food and Agriculture, are working to create the next generation of food systems using artificial intelligence.
Although several companies have been operating fully autonomous vehicles (usually with a safety driver still behind the wheel) for a while now, this week we’ve seen just how close we may be to having self driving cars in many more places. Read why Oliver Cameron thinks this has been a game-changing several weeks for not only his company (Voyage), but the entire self-driving industry.
The U.S. government has set guidelines for artificial intelligence adoption and establishing trustworthy AI within Federal Agencies. This contains outlines for: principles for the use of AI in government, common policy for implementing Pprinciples, catalogue of agency use cases of AI, and enhanced AI implementation expertise.
If you’re interested in reading more about AI development and government involvement, I suggest checking out the book “AI Super Powers” by Kai-Fu Lee. He offers some really interesting opinions on the AI ecosystems of the world.