Aug 26, 2022
Andy and Dave discuss the latest in AI and autonomy news and
research, including an announcement that the Federal Trade
Commission is exploring rules for cracking down on harmful
commercial surveillance and lax data security, with the public
having an opportunity to share input during a virtual public form
on 8 September 2022. The Electronic Privacy Information Center
(EPIC), with help from Caroline Kraczon, releases The State of
State AI Policy, a catalog of AI-related bills that states and
local governments have passed, introduced or failed during the
2021-2022 legislative season. In robotics, Xiaomi introduces
CyberOne, a 5-foot 9-inch robot that can identify “85 types of
environmental sounds and 45 classifications of human emotions.”
Meanwhile at a recent Russian arms fair, Army-2022, a developer
showed off a robot dog with a rocket-propelled grenade strapped to
its back. NIST updates its AI Risk Management Framework to the
second draft, making it available for review and comment. DARPA
launches the SocialCyber project, a hybrid-AI project aimed at
helping to protect the integrity of open-source code. BigScience
launches BLOOM (BigScience Large Open-science Open-access
Multilingual Language Model), a “bigger than GPT-3” multilanguage
(46) model that a group of over 1,000 AI researchers has created,
that anyone can download and tinker with it for free. Researchers
at MIT develop artificial synapses that shuttle protons, resulting
in synapses 10,000 times faster than biological ones. China’s
Comprehensive National Science Center claims that it has developed
“mind-reading AI” capable of measuring loyalty to the Chinese
Communist Party. Researchers at the University of Sydney
demonstrate that human brains are better at identifying deepfakes
than people, by examining results directly from neural activity.
Researchers at the University of Glasgow combine AI with human
vision to see around corners, reconstructing 16x16-pixel images of
simple objects that the observer could not directly see. GoogleAI
publishes research on Minerva, using language models to solve
quantitative reasoning problems, and dramatically increasing the
SotA. Researchers from MIT, Columbia, Harvard, and Waterloo publish
work on a neural network that solves, explains, and generates
university math problems “at a human level.” CSET makes available
the Country Activity Tracker for AI, an interactive tool on tech
competitiveness and collaboration. And a group of researchers at
Merced’s Cognitive and Information Sciences Program make available
Neural Networks in Cognitive Science.
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