Coming to grips with machine learning needn’t require vast amounts of labeled data, a team of data scientists, and a lot of compute time. The state of the art in modern artificial intelligence has ...
Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
This study demonstrates that it is possible to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care. Objectives: ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
When asked to head Facebook’s Applied Machine Learning group — to supercharge the world’s biggest social network with an AI makeover — Joaquin Quiñonero Candela hesitated. It was not that the ...
Researchers have successfully applied machine learning to guide the synthesis of new nanomaterials, eliminating barriers associated with materials discovery. The highly trained algorithm combed ...
Despite the promise of data-based innovations in medicine, proponents often overlook the special risks of bringing medicine into the age of artificial intelligence. As a starting point, we can take ...
In 1962 Arthur Samuel shocked the world. He built a computer that could challenge then- reigning checkers champion, Robert Nealy. The machine won, but it wasn't the triumph alone that grabbed ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
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