Group testing algorithms are an emerging frontier in applied mathematics and computer science that focus on the efficient identification of defective items within large populations through pooled ...
Ziad Obermeyer is in the Division of Health Policy and Management, School of Public Health, University of California, Berkeley, Berkeley, California 94720, USA. Read the paper: Efficient and targeted ...
Anna Perez This photograph depicts a deer tick, or blacklegged tick, Ixodes scapularis, as it was questing on a blade of grass. The Lyme disease bacterium, Borrelia burgdorferi, is spread through the ...
For years, standardized tests have been the barriers that students have to climb in order to advance academically. They are the ruler by which success is measured, despite being deeply flawed ...
Keysight announced additional testing capabilities for its Inspector security platform to assess the robustness of post-quantum cryptography (PQC). Keysight Inspector, part of the recent Riscure ...
A machine-learning algorithm could provide auto manufacturing, aerospace and other industries a faster and more cost-efficient way to test bulk materials. A machine-learning algorithm developed at ...
Operational Risk Management Tool for Complex U.S. Equity Markets to Improve Electronic Trading Ecosystem First Exchange Group to Deploy Next-Generation Solution for Improved Testing Standards NEW YORK ...
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Hard in theory, easy in practice: Why graph isomorphism algorithms seem to be so effective
Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...
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