Jul 30, 2021
Andy and Dave discuss the latest in AI news and research,
including the new DARPA FENCE program (Fast Event-based
Neuromorphic Camera and Electronics), which seeks to create
event-based cameras that only focus on pixels that have changed in
a scene. NIST proposed an approach for reducing the risk of bias in
AI and has invited the public to comment and help improve it.
Researchers from the University of Colorado, Boulder use a machine
learning model to learn physical properties in electronics building
blocks (such as clumps of silicon and germanium atoms), as a way to
predict how larger electronics components will work or fail.
Researchers in South Korea create an artificial skin that mimics
human tactile recognition, and couple it with a deep learning
algorithm to classify surface structures (with an accuracy of
99.1%). A survey from IE University shows, among other things, that
75% of people surveys in China support replacing parliamentarians
with AI, while in the US, 60% were opposed to it. A scientist with
<> uses machine learning to learn Rembrandt’s style and then
recreate missing pieces of the painter’s “The Night Watch.”
Researchers at Harvard, San Diego, Fujitsu, and MIT present
methodical research on demonstrating how classification neural
networks are susceptible to small 2D transformations and shifts,
image crops, and changes in object colors. The GAO releases a
report on Facial Recognition Technology, surveying 42 federal
agencies, and finds a general lack of accountability in the use of
the technology. The WHO releases a report on Ethics and Governance
of AI for Health. In rebuttal to DeepMind’s “Reward is enough”
paper, Roitblat and Byrnes pens separate essays on why “Reward is
not enough.” An open-access book by Wang and Barabasi looks at the
Science of Science. Julia Schneider and Lena Ziyal join forces to
provide a comical essay on AI: We Need to Talk, AI. And the
National Security Commission on AI holds an all-day summary on
Global Emerging Technology.
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