Computer Science

Training Agents to Walk with Purpose

By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently. A classification algorithm for relational data that is more accurate, as well as orders of magnitude more efficient than previous schemes, has been developed through a research collaboration between KAUST and Nortonlifelock Research Group in France.

Tens of Thousands of Artificial Brain Synapses on a Single Chip

Algorithm Quickly Simulates a Roll of Loaded Dice

Seeing Through Walls

Machine vision coupled with artificial intelligence (AI) has made great strides toward letting computers understand images. Thanks to deep learning, which processes information in a way analogous to the human brain, machine vision is doing everything from keeping self-driving cars on the right track to improving cancer diagnosis by examining biopsy slides or x-ray images.