Jul 31, 2020
In COVID-related AI news, Andy and Dave discuss research that
provides a comprehensive survey on applications of AI in fighting
COVID-19. The Stanford Institute for Human-Centered AI and the AI
Initiative at the Future Society launch a global alliance:
Collective and Augmented Intelligence against COVID-19 (CAIAC). MIT
and the IBM Watson AI Lab publish a paper that suggests a
computational limit to progress in deep learning. The Atlas of
Surveillance provides an open-source look at technologies that law
enforcement are using across the US, to include facial recognition
and drones. Similarly, Surfshark has compiled information on the
status of facial recognition technology around the globe, along
with additional useful information. MIT finds systematic
shortcomings in the ImageNet dataset, with an observation that the
crowdsourcing data collection pipeline can cause “misalignments.”
Research from Google Brain shows that “self-attention” can allow
agents to identify task-critical visual hints, and ignore
task-irrelevant elements. UC Berkeley, Google, CMU, and Facebook
demonstrate “one policy to rule them all,” where they use one
global policy to control the movement of a wide variety of agent
morphologies (which would normally require training and tuning for
each separate morphology). The Army’s Cyber Institute releases the
“Invisible Force” graphic novel, which examines potential uses of
AI technology in a future fictional scenario. Alife 2020 makes a
compilation of its July conference available, clocking in a nearly
800 pages. And Gwern examines the creative side of GPT-3 through
poetry, humor, and other probing interactions
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