Creating deeper defense against cyber attacks

To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.

Computer Sciences

EventDrop: a method to augment asynchronous event data

Event sensors, such as DVS event cameras and NeuTouch tactile sensors, are sophisticated bio-inspired devices that mimic event-driven communication mechanisms naturally occurring in the brain. In contrast with conventional ...

Computer Sciences

New AI-powered deep learning model to support medical diagnostics

A new deep-learning model can learn to identify diseases from medical scans faster and more accurately, according to new research by a team of University of Alberta computing scientists and the U of A spinoff company MEDO. ...

Computer Sciences

Novel deep learning framework for symbolic regression

Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems, outperforming ...


Using AI to measure the demand for parking space

The growth in the number of cars parked in urban areas has a major impact on public space. One key consequence of this is that parking availability is less predictable, both in downtown and in quieter, residential areas, ...

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