KAUST Discovery: Shuffling the deck for privacy
An integrated shuffler optimizes the privacy of personal genomic data used formachine learning. Read more
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An evening with Extreme E at KAUST
Wednesday, February 146:00 to 7:00 p.m.Discovery Square Join us for an evening with the pioneering electric off-road racing series, Extreme E, ahead of their Season 4 opening race
KAUST Turbulence Workshop: Outstanding Challenges in Wall Turbulence and Lessons to Be Learned from Pipes
February 26 – 28, 2024Between Buildings 4 and 5, Auditorium 0215 This workshop represents a platform dedicated to discussing the complexities of wall turbulence, a
Special KAUST discount for winter experiences at KAEC
February 8 to March 2 Beach Walk, KAEC Explore a fun winter experience for the whole family at Beach Walk, KAEC. Our community partner King Abdullah
Community Music Recital: classical Arabic and Turkish music
As part of the Community Recitals concert series, Youssef Al Ashkar will be performing an Oud Recital at the Discovery Square Theatre on Monday, February 19, from
Scientific Visualization Workshop Series
Every Tuesday, February 13–February 27, 20241:30 p.m.–3:30 p.m.Building 1, Level 2, Room 2304 The KAUST Visualization Core Lab (KVL) is pleased to announce a workshop series on scientific visualization.
Coming up in April at the Family and Child Support Center
The Family and Child Support Center is excited to announce a parenting training course for parents of students in the KAUST school. The program is
9th International Conference on Organic Solvent Nanofiltration
March 4 – 6, 2024Between Buildings 2 & 3, Auditorium 0215 Separation processes are responsible for great part of the energy consumption in the chemical,
A captivating exhibition featuring CT scanner images
Collaborators: ANPERC, the KAUST Visualization Core Lab team and the KAUST Office of the Arts February 11 to 29Campus Library We are thrilled to announce
Seminar Series: Thoughts About Machine Learning
Please be aware that Jürgen Schmidhuber’s seminar “Thoughts About Machine Learning” (with Q&A sessions on artificial intelligence) continues to be held every Tuesday at 3:30