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by   -   May 16, 2019

“From the Archive” features historical content shining a light on past successes in AI.

This week we feature RoboCup highlights from 1997 to 2011.

by   -   May 16, 2019

ICRL, the International Conference on Learning Representations, was held May 6th to 9th 2019 in New Orleans.

Relive the conference through some of the top tweets (#ICLR2019).

by   -   May 15, 2019
Figure 1: Our model-based meta reinforcement learning algorithm enables a legged robot to adapt online in the face of an unexpected system malfunction (note the broken front right leg).

By Anusha Nagabandi and Ignasi Clavera

Humans have the ability to seamlessly adapt to changes in their environments: adults can learn to walk on crutches in just a few seconds, people can adapt almost instantaneously to picking up an object that is unexpectedly heavy, and children who can walk on flat ground can quickly adapt their gait to walk uphill without having to relearn how to walk. This adaptation is critical for functioning in the real world.

by   -   May 1, 2019


A recent paper in Nature reports on a new technology created by UC San Francisco neuroscientists that translates neural activity into speech. Although the technology was trialled on participants with intact speech, the hope is that it could be transformative in the future for people who are unable to communicate as a result of neurological impairments.

by   -   May 1, 2019

The Partnership on AI has announced an initiative to define best practices for transparency in machine learning.

by   -   May 1, 2019

In this episode of Computing Up, David Jensen, Professor and Director of the Knowledge Discovery Laboratory at the University of Massachusetts Amherst, talks with Michael Littman and Dave Ackley – because causality.

by   -   April 22, 2019
Black microphone stands on the desk. Interview, copy space.

By Marion Neumann
Welcome to the eighth interview in our series profiling senior AI researchers. This month we are especially happy to interview our SIGAI advisory board member, Thomas Dietterich, Director of Intelligent Systems at the Institute for Collaborative Robotics and Intelligence Systems (CoRIS) at Oregon State University.

by   -   April 22, 2019

By Annie Xie

In many animals, tool-use skills emerge from a combination of observational learning and experimentation. For example, by watching one another, chimpanzees can learn how to use twigs to “fish” for insects. Similarly, capuchin monkeys demonstrate the ability to wield sticks as sweeping tools to pull food closer to themselves. While one might wonder whether these are just illustrations of “monkey see, monkey do,” we believe these tool-use abilities indicate a greater level of intelligence.

by   -   April 11, 2019

What’s hot on Arxiv? Here are the most tweeted papers from the past month.

by   -   April 11, 2019

In this episode of Computing Up, Michael Littman and Dave Ackley discuss Rich Sutton’s “The Bitter Lesson” and Rod Brook’s “A Better Lesson“.