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 ...

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 ...

Short-wavelength automated perimetry is effective in detecting glaucoma earlier than standard white-on-white perimetry, but because of the length of the test it has mostly been used only in academic ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Lyft has spent a lot of time building tools that help it simulate the ...

Kate Smith-Miles receives funding from the Australian Research Council as a Georgina Sweet Australian Laureate Fellow, and as a Chief Investigator in the Australian Centre of Excellence in ...

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 ...

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 ...