Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify ...

UCLA Health develops AI to detect Alzheimer's cases using EHR data, improving early identification across diverse ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

Abstract: The integration of Network Functions Virtualization (NFV) systems into mobile edge and core networks has heightened the need for effective anomaly detection and localization methods. The ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...

A new tamper detection IP protects one of the most complex physical attack routes by detecting electromagnetic fault injection (EMFI) attacks. The agileEMSensor IP complements Agile Analog’s existing ...

Physicists have unveiled a new superconducting detector sensitive enough to hunt dark matter particles smaller than electrons. By capturing faint photon signals, the device pushes the search into ...

To say that neutrinos aren’t the easiest particles to study would be a bit of an understatement. Outside of dark matter, there’s not much in particle physics that is as slippery as the elusive “ghost ...

Deep beneath southern China, JUNO has launched one of the most ambitious neutrino experiments in history. With its massive 20,000-ton liquid scintillator detector now operational, it’s poised to ...