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Researchers Build Framework To Avoid Machine Learning’s “Undesirable Outcomes”

Researchers at UMass Amherst have introduced a framework for designing machine learning algorithms that aims to make it easier to specify fairness. (GETTY IMAGES) By Benjamin Ross, Senior Editor, AI…

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Deep Double Descent

We show that the double descent phenomenon occurs in CNNs, ResNets, and transformers: performance first improves, then gets worse, and then improves again with increasing model size, data size, or…

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Procgen Benchmark

We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills. Paper Environment Code Training Code Getting started…

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Synchrony Financial AI Development Team Working on a ‘Self-Evolving’ Consumer Interface

The wrong way to approach AI development is to bolt it on and hope for the best, suggested Alex Muller of Synchrony Financial at AI World 2019 in Boston. Alex…

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Practical AI-Powered Real-Time Analytics for Manufacturing: Lessons Learned From Design to Deployment

A manufacturer reached out to a team at SAS to use AI and computer vision to help prevent costly jams that can slow down or stop the production line. Contributed…

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Improve Your Python Practices: Debugging, Testing, and Maintenance

Being a web developer comes with a number of unique challenges. Choosing the right language to build websites and applications which is a lot harder than you may think. For…

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Python 3.8 now available!

If you signed up since 26 November, you’ll have Python 3.8 available on your account — you can use it just like any other Python version. If you signed up…

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Using AI to Improve the Accuracy of Real World Data for Clinical Assertions

By Allison Proffitt, Editorial Director, AI Trends The 21st Century Cures Act, passed in 2016, placed additional focus on real world data to support regulatory decision making, including new indications…

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Safety Gym

We’re releasing Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning agents that respect safety constraints while training. We also provide a standardized method of…

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System update on 21 November 2019

This morning’s system update went smoothly; some websites did take a bit longer than we expected to start up afterwards, but all is well now. There are two big new…

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