Nov 13, 2020
In COVID-related AI news, MIT researchers have published a
machine learning algorithm that can diagnose COVID-19 by the sounds
of a person’s forced cough. And the US Veterans Affairs Department
rolls out a machine learning tool to predict mortality rates of
COVID-19 patients. In non-COVID news, the JAIC releases the
Department of Defense’s AI Education Strategy, which contains a
detailed description of requirements, required instruction, and
competencies. DoD also releases a new electromagnetic spectrum
strategy, which contains a number of machine-learning mentions. And
Tesla began making available its “full self-driving beta” to a
small number of “expert and careful drivers.” Research from MIT
CSAIL have created a machine learning system that can reportedly
decipher “lost” languages; they built it on several principles from
insights into historical linguistics, such as the observation that
languages generally only evolve in certain predictable ways (such
as sound substitutions). In other language news, Facebook makes
available a machine learning model that can translate directly
between 100 different languages (rather than using English as a
go-between). Research from CalTech and Purdue creates a “Fourier
neural operator” that can solve parametric partial differential
equations, nearly 1000 times faster than traditional solvers. And
research from the University of Waterloo looks at “less than
one-“shot learning, attempting to allow an AI to learn with almost
no data (and thus recognize more objectives than the number of
examples trained on).
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