MBZUAI and the Weizmann Institute of Science have launched a joint AI Research Program. The program will foster collaborative projects, training, and exchanges in AI fields like machine learning, computer vision, and NLP. The initiative aims to advance both basic and applied AI research, particularly in healthcare and genomics. Why it matters: This partnership signifies growing international collaboration in AI research within the UAE and could accelerate breakthroughs in key AI applications.
KAUST and AlFaisal University have signed an MOU to establish a joint M.D.-Ph.D. program, the first of its kind in Saudi Arabia. AlFaisal medical students selected for the program will enroll in a KAUST Ph.D. program focused on basic research, smart-health tools, and precision medicine. Graduates will become clinician-scientists implementing smart-health methods in the Saudi healthcare system. Why it matters: This program will cultivate a new generation of leaders in smart health and precision medicine, fostering evidence-based practices in Saudi healthcare.
Faculty from KFUPM visited KAUST on November 25-26, 2015 to discuss potential research collaborations. Discussions focused on identifying common ground and actionable steps in areas like electrical engineering, modeling, and computer simulation. Participants highlighted potential opportunities for complementary work between the two institutions. Why it matters: Increased collaboration between leading Saudi universities like KAUST and KFUPM can enhance the Kingdom's research capabilities and innovation ecosystem.
KAUST has opened registration for its Winter Enrichment Program (WEP) 2015, which will run from January 11-22. The program features over 100 events centered around the International Year of Light, robotics, and big data. WEP 2015 includes keynote lectures, Saudi cultural events, art workshops, recreational activities, and a film festival. Why it matters: Such programs foster community engagement and promote interdisciplinary knowledge sharing within KAUST.
Sai Praneeth Karimireddy from UC Berkeley presented a talk on building planetary-scale collaborative intelligence, highlighting the challenges of using distributed data in machine learning due to data silos and ethical-legal restrictions. He proposed collaborative systems like federated learning as a solution to bring together distributed data while respecting privacy. The talk addressed the need for efficiency, reliability, and management of divergent goals in these systems, suggesting the use of tools from optimization, statistics, and economics. Why it matters: Collaborative AI systems can unlock valuable distributed data in the region, especially in sensitive sectors like healthcare, while ensuring privacy and addressing ethical concerns.
A senior delegation from Weizmann Institute of Science visited MBZUAI in Abu Dhabi to discuss the MBZUAI-WIS Joint Program for Artificial Intelligence Research. The AI Program, announced in February, aims to promote collaborative initiatives in fundamental AI research and explore AI applications in healthcare and genomics. The program will focus on Machine Learning, Computer Vision, NLP, Computational Biology, and Neural Sciences, with plans for researcher appointments and resources. Why it matters: This partnership strengthens the AI ecosystem in the UAE and the region, particularly in fundamental research and key application areas.
This paper introduces ProgramFC, a fact-checking model that decomposes complex claims into simpler sub-tasks using a library of functions. The model uses LLMs to generate reasoning programs and executes them by delegating sub-tasks, enhancing explainability and data efficiency. Experiments on fact-checking datasets demonstrate ProgramFC's superior performance compared to baseline methods, with publicly available code and data.
KAUST has launched a master’s degree program in Technology Innovation and Entrepreneurship (TIE), a 16-month program designed to transform research innovation into commercially viable products and services. The program includes training in AI/ML, robotics, design thinking, and entrepreneurship, plus a six-month stay in Shenzhen, China. The inaugural TIE cohort will consist of 30 students, including 18 Saudi nationals, and will study at the Suliman Olayan Institute for Innovation and Entrepreneurship. Why it matters: The program aims to bridge the gap between academia and industry and drive Saudi Arabia's economic diversification and innovation agenda in line with Vision 2030.