KAUST is hosting a workshop on distributed training in November 2025, led by Professors Peter Richtarik and Marco Canini, focusing on scaling large models like LLMs and ViTs. Richtarik's team recently solved a 75-year-old problem in asynchronous optimization, developing time-optimal stochastic gradient descent algorithms. This research improves the speed and reliability of large model training and supports applications in distributed and federated learning. Why it matters: KAUST's focus on scalable AI and federated learning contributes to Saudi Arabia's Vision 2030 goals and addresses critical challenges in AI deployment and data privacy.
KAUST held a research workshop on Optimization and Big Data, gathering researchers to discuss challenges and opportunities in the field. Speakers presented novel optimization algorithms and distributed systems for handling large datasets. The workshop featured 20 speakers from KAUST, global universities, and Microsoft Research. Why it matters: The event highlights KAUST's role as a regional hub for advancing research and development in big data and optimization, crucial for AI and various computational fields.
KAUST held its Rising Stars in AI Symposium 2025, organized by the Center of Excellence for Generative AI, from April 7-10. The symposium hosted 25 emerging researchers to present their work in generative AI, machine learning, CV, and NLP. KAUST leadership emphasized the university's commitment to AI research and its role in fostering global collaboration and innovation in the field. Why it matters: The event highlights KAUST's ambition to become a central hub for AI research and talent development in Saudi Arabia, aligning with the Kingdom's broader AI strategy.
KAUST showcased its AI initiatives at the 2022 Global AI Summit in Riyadh, highlighting its efforts to increase AI capacity and innovation in Saudi Arabia. Jurgen Schmidhuber, Director of the KAUST AI Initiative, addressed attendees on AI and deep learning, while Provost Lawrence Carin and Deputy Director Bernard Ghanem discussed AI talent development. KAUST is partnering with public and private sector institutions to embed AI in key areas such as security, energy, data analytics, and health. Why it matters: This participation reinforces KAUST's central role in advancing AI research and development within the Kingdom and aligns with Saudi Arabia's broader vision for technological leadership.
A KAUST-led team in collaboration with Japan's National Institute of Informatics and Cray Inc. has implemented a new algorithm to harness the power of supercomputers. The algorithm integrates new singular value decomposition (SVD) codes into Cray LibSci scientific libraries, supporting machine learning and data de-noising applications. This was achieved through the Cray Center of Excellence (CCOE) at KAUST, established in 2015. Why it matters: The new algorithm helps to optimize the use of advanced supercomputing infrastructure in the region, specifically KAUST's Shaheen II, for computationally intensive AI applications.