KAUST Professor of Computer Science Peter Richtárik and his former student Nicolas Loizou, currently a postdoctoral researcher at Mila - Quebec Artificial Intelligence Institute and soon to take up an assistant professorship position at Johns Hopkins University, recently received the 2020 Computational Optimization and Applications (COAP) Best Paper Award.
KAUST recently announced that Professor Jürgen Schmidhuber will join KAUST as director of the University's Artificial Intelligence Initiative. Schmidhuber is a renowned computer scientist who is most noted for his pioneering work in the field of artificial intelligence, deep learning, and artificial neural networks.
CEMSE Division is pleased to announce the appointment of Professor Jürgen Schmidhuber as the Director of the KAUST Artificial Intelligence Initiative, who will join KAUST on October 1, 2021.
A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow.
Matteo Parsani and his team at KAUST are modeling how air particles move around objects—providing vital info for engineers designing lighter jets.
The annual IEEE Computer Society Global Student Challenge provides an avenue for students worldwide to create innovative solutions to big data problems. This year’s competition, IEEE CS GSC 2021, encourages each individual or team (max three students) to present solutions to pre-determined problem/issue statement of relevance in CS today.
Laurent Condat, a research scientist based in the KAUST Visual Computing Center, has recently been appointed as an Associate Editor of IEEE Transactions on Signal Processing (TSP). The peer-reviewed journal covers novel theory, algorithms, performance analyses, and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals.
Bernard Ghanem, KAUST associate professor of electrical and computer engineering and computer science, recently received the 2020 Abdul Hameed Shoman Award for Arab Researchers for ''Machine Learning and Big Data.''
In June this year, KAUST students were invited to Dream up ideas and Imagine new solutions for solving challenges in NEOM using AI Models. This was organized by a Saudi national competition for all universities in the Kingdom. 100+ projects were submitted to the organizing committee (https://neomchallenge.com/en).
Hashtags like #covid19 and #coronavirus help us stay up to date on the developments of the new coronavirus pandemic. But beyond breaking news, tweets also offer a glimpse into the emotional side of the COVID-19 crisis.
By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently.
ActivityNet is featured in the AI Index as the benchmark for the algorithms that can recognize human actions and activities from videos.