MBZUAI launched the AI Quorum, a winter series from October 2022 to March 2023, to stimulate AI research. The first session, led by Professor Michael Jordan, focused on collaborative learning with around 20 research experts. Discussions covered the use of edge devices like cell phones and hospitals providing data to build large models, as well as risks like free-riding and adversarial attacks. Why it matters: The AI Quorum initiative positions MBZUAI as a hub for global AI collaboration, addressing key challenges and opportunities in collaborative learning for real-world applications.
KAUST's Industry Engagement Office (IEO) actively recruits partner companies to establish a presence on campus within the Research and Technology Park. The IEO assists companies like SABIC in setting up research centers, identifying research areas, and drafting proposals. The office also connects KAUST faculty with industry partners by assessing research interests and viable business models. Why it matters: This fosters collaboration and translates research into tangible business value, strengthening KAUST's role in regional innovation.
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.
KAUST and Technische Universität München (TUM) have been collaborating on research since 2009, focusing on chemistry, computer science, and mathematics. TUM President Prof. Herrmann visited KAUST on March 25, discussing the KAUST-TUM collaboration in high-performance computing and catalytic chemistry. He emphasized the need for an entrepreneurial and interdisciplinary approach to solve complex scientific problems, highlighting trust and complementary expertise as key to the partnership's success. Why it matters: This partnership strengthens research capabilities in Saudi Arabia, promoting innovation and addressing complex challenges through international collaboration in key areas like computing and chemistry.
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.
MBZUAI hosted the Second Workshop on Collaborative Learning as part of the AI Quorum in Abu Dhabi, focusing on collaborative and federated learning for sustainable development. Researchers discussed applications in medicine, biology, ecological conservation, and humanitarian aid. Eric Xing highlighted the potential of large biology models, similar to LLMs, to revolutionize biological data analysis. Why it matters: This workshop underscores the UAE's commitment to advancing AI research in crucial sectors like healthcare and sustainability through collaborative learning approaches.
KAUST hosted the KAUST Research Conference: Advances in Well Construction with Focus on Near-Wellbore Physics and Chemistry from November 7 to 9. The conference was co-chaired by Eric van Oort, a professor at UT Austin, and Tadeusz Patzek, director of the University’s Upstream Petroleum Engineering Research Center. Attendees included professors from the University of Queensland and UT Austin, and directors from GenesisRTS and Labyrinth Consulting Services, Inc. Why it matters: The conference facilitates international collaboration on advancements in petroleum engineering and well construction technologies, which are strategically important for Saudi Arabia.
KAUST researchers from statistics and earth science collaborated to improve earthquake source modeling. They developed a statistical ranking tool to classify 2D fields, applicable to geoscience models like temperature or precipitation. The tool helps compare different 2D fields describing the earthquake source process and quantify inter-event variability. Why it matters: This cross-disciplinary approach enhances the reliability of earthquake rupture models, contributing to better hazard assessment and risk management in seismically active regions.