Feb 19, 2021
In news, Andy and Dave discuss a machine learning algorithm from
Synergies Intelligent System and Universität Hamburg that can
identify people in a moving crowd who are mostly likely
asymptomatic carriers of COVID-19. US lawmakers have introduced the
Public Health Emergency Privacy Act, to boost privacy protections
for COVID-19 technology such as tracing apps and vaccine scheduling
apps. A team led by researchers from Oxford have introduced new
reporting guidelines to bridge a gap in development to
implementation when using clinical AI technologies, dubbed
DECIDE-AI. Over 30 authors from a wide swath of organizations have
proposed a “living benchmark” to evaluate progress in natural
language generation, which they call GEM (Generation, Evaluation,
and Metrics). And the combination we saw coming, research from
Queen Mary University demonstrate a deep learning framework for
detection of emotion using wireless signals. Researchers at the
University of Virginia claim to detect physiological responses to
racial bias with 76.1% accuracy, though it more focuses on
exploring any link between mental associations of skin color. In
research, Stanford researchers explore how learning and evolution
occur in complex environments, and how they affect the diversity of
morphological forms, with DERL (Deep Evolutionary Reinforcement
Learning). Researchers from University of Illinois,
Urbana-Champaign, introduce GANs for editing images via their
latent space, which provides greater control over editing (e.g.,
editing a mouth without re-generating the entire face). And in the
video of the week, a 12-minute video provides a short history on
DARPA with highlights on many of its military robot programs.
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