ML

KAUST Workshop on Distributed Training in the Era of Large Models

Nov 24 - 26, All day

Auditorium between B4 & 5, L0, R0215

machine learning Distributed algorithms generative models ML

Join leading researchers and innovators to explore how distributed training is reshaping the next generation of large-scale AI models.

Muhammad Samiullah

Intern, Cyber Security and Resilience Technology

cybersecurity ML FPGA LLM

Cyber Security, FPGA security, AI/ML security

SIAM CSE21 (VIRTUAL) - Minisymposium on HPC Response to the COVID19 Pandemic

Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science

Mar 1, 09:00 - 18:00

KAUST

HPC ML COVID-19 artificial intelligence

Abstract This minisymposium brings together experts in numerical simulation that have developed HPC software tools toward a better understanding coronavirus and the global COVID19 pandemic. Their recent results highlight the importance of computational science as a guiding tool that helps in uncovering the structure and mechanics of the viral spread as well as drastically reduces the number of candidate treatments that need laborious laboratory testing. From transformative medical advances to drug discovery driven by massively parallel supercomputing, this minisymposium will span a range of

Hamzeh Abu Qamar

Master of Science, King Abdullah University of Science and Technology

AI ML medical applications.. bioelectronics Biosensors

MS Student, Electrical, Electronics and Communications Engineering at King Abdullah University of Science and Technology (KAUST).