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Last Week in AI #64

Tracking AI Efficiency, AI for tax policy, and more!

Last Week in AI #64

Image credit: Tony Webster / Flickr

Mini Briefs

OpenAI begins publicly tracking AI model efficiency

In recent discussions on the progress of AI, a great deal of focus has been placed on model efficiency, which refers to “reducing the compute needed to train a model to perform a specific capability.” While methods such as deep neural networks and neural architecture search have produced great improvements according to metrics like accuracy, they use vast amounts of compute. This raises a number of issues, including the environmental impacts of using so much compute power and the inequitable access to the compute needed to reproduce research that employs these methods.

In the spirit of aiding efforts to introduce model efficiency as a salient objective, OpenAI announced on May 5 that it would begin tracking machine learning models that achieve state-of-the-art efficiency. By publicly measuring model efficiency, OpenAI hopes to paint a quantitative picture of algorithmic progress, which it believes will in turn “inform policy making by renewing the focus on AI’s technical attributes and societal impact.”

An AI can simulate an economy millions of times to create fairer tax policy

Deep reinforcement learning has been, more or less, the “superhero” of recent advancement in AI. We’ve seen it accomplish incredible feats, from beating the world Go champion to teaching robots to walk. But can the secret ingredient to beating video games help run the economy? Scientists at US business technology company Salesforce have developed a system called the AI Economist that uses reinforcement learning to identify tax policies that maximize productivity and income equality for a simulated economy. While still rudimentary, the scientists hope the tool can provide a sanity check for existing economic models, and, in the future, replicate existing theoretical results.

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News

Advances & Business

  • How A.I. Steered Doctors Toward a Possible Coronavirus Treatment - Specialists at the London start-up BenevolentAI helped identify the arthritis drug baricitinib, which is now part of a clinical trial. In late January, researchers at BenevolentAI, an artificial intelligence start-up in central London, turned their attention to the coronavirus.

  • An AI algorithm inspired by how kids learn is harder to confuse - Drawing inspiration from the way parents teach children to identify things by introducing increasingly finer categories, researchers at Carnegie Mellon University created a new technique that teaches a neural network to classify things in stages.

  • Written And Directed By: Artificial Intelligence - As impossible as it seems, it won’t be long before artificial intelligence is writing and creating films. As a lead up to this eventuality, here is a list of just some of the creative endeavors that AI has already accomplished.

Concerns & Hype

Expert Opinions & Discussion within the field


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