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deep-learning-system-detects-human-presence-by-harvesting-rf-signals

Deep-learning system detects human presence by harvesting RF signals

Researchers at Syracuse University in New York have recently developed a system that can detect the presence of humans in a given environment by analyzing ambient radio frequency (RF) signals. This new system, presented in a paper pre-published on arXiv, employs a convolutional neural network (CNN) trained on a vast amount of RF data. Read

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researcher-discovers-huge-flaw-with-anthropometry,-the-measurement-of-facial-features-from-images

Researcher discovers huge flaw with anthropometry, the measurement of facial features from images

University of Huddersfield lecturer Dr. Eilidh Noyes was among world-leading experts in the science of face recognition who assembled in Australia for a conference that will lead to policy recommendations designed to aid police, governments, the legal system and border control agencies. Read More

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