Jul 17, 2020
In COVID-related AI news, Purdue University has built a website
that tracks global response to social distancing, by pulling live
footage and images from over 30,000 cameras in 100 countries. Simon
Fong, Nilanjan Dey, and Jyotismita Chaki have published Artificial
Intelligence for Coronavirus Outbreak, which examines AI’s
contribution to combating COVID-19. Researchers at Harvard and
Boston Children’s Hospital use a “regular” Bayesian model to
identify COVID-19 hotspots over 14 days before they occur. In
non-COVID AI news, the acting director of the JAIC announces a
shift to enabling joint warfighting operations. The DoD Inspector
General releases an Audit of Governance and Protection of DoD AI
Data and Technology, which reveals a variety of gaps and weaknesses
in AI governance across DoD. Detroit Police Chief James Craig
reveals that the police department’s experience with facial
recognition technology resulted in misidentified people about 96%
of the time. Over 1400 mathematicians sign and deliver a letter to
the American Mathematical Society, urging researchers to stop
working on predictive-policing algorithms. DARPA awards the
Meritorious Public Service Medal to Professor Hava Siegelmann for
her creation and research in the Lifelong Learning Machines
Program. And Horace Barlow, one of the founders of modern visual
neuroscience, passed away on 5 July at the age of 98. In research,
Udrescu and Tegmark release AI Feynman 2.0, with unsupervised
learning of equations of motion by viewing objects in raw and
unlabeled video. Researchers at CSAIL, NVidia, and the University
of Toronto create the Visual Causal Discovery Network, which learns
to recognize underlying dependency structures for simulated
fabrics, such as shirts, pants, and towels. In reports, the
Montreal AI Ethics Institute publishes its State of AI Ethics. In
the video of the week, Max Tegmark discusses the previously
mentioned research on equations of motion, and also discusses
progress in symbolic regression. And GanBreeder upgrades to
ArtBreeder, which can create realistic-looking images from
paintings, cartoons, or just about anything.
Click here to visit our website and explore the links mentioned in the episode.