Saudi Arabia’s King Abdullah University of Science and Technology is joining the global artificial intelligence race by accelerating generative AI research and development through models that align with the Kingdom’s Research Development and Innovation Authority’s Vision 2030.

“Generative AI (GenAI) is on its way to transform every aspect of our civilization and has already started doing so. It will be central to the future development of (Saudi Arabia), with a plethora of applications in health care, industry, energy, sustainability and entertainment, among many others,” Bernard Ghanem, chair of the Center of Excellence in Generative AI at KAUST, told Arab News.

On 1 July, KAUST announced the launch of its Center of Excellence (CoE) on Generative AI, which intends to be the premier research, development, and innovation hub for pioneering generative AI technology aimed at addressing the most pressing challenges faced by the Kingdom and the world.

“The KAUST GenAI CoE will push the envelope on what is possible with GenAI, in terms of technical capabilities, applications and real-world impact,” Ghanem said.

“We envision that the CoE will play a major role in boosting and expediting the GenAI landscape in the Kingdom and the world at large, leading to an explosion of new models with real-world applications in the four national priority R&D sectors identified by the Kingdom.”

KAUST’s mission is to enable GenAI research and development through GenAI models to find solutions aligned with the four national priority areas outlined in the Kingdom’s RDIA Vision 2030: Health and wellness; sustainability and essential needs; energy and industrials; and economies of the future. DI pillars,” Ghanem said.

He outlined KAUST GenAI CoE’s strategies for using GenAI in the Kingdom’s priority research and development areas.

In line with sustainability, KAUST GenAI CoE is working to develop GenAI foundation models for Earth observation data from satellite inputs as well as using the set foundation models for insights about Earth observation, with emphasis on specific-use cases including agricultural informatics, ecosystem assessment, and weather forecasting and prediction. On energy and industries, Ghanem explained that the centre of excellence was developing and specialising in GenAI foundational models in the domain of chemistry.

The centre is using “foundation models for chemical reaction optimization (i.e., discovering the optimal chemical setup for a reaction to produce the best outcomes) and advanced material discovery and synthesis (i.e., combining GenAI models with an automated robotic chemistry lab for significantly expedited real-world discovery).”