The article discusses how AI is being used to enhance the Olympic and Paralympic Games, with a focus on research from MBZUAI. PhD student Ahmed Sharshar is developing lightweight AI models for accessible gym coaching, while Intel is using AI to improve accessibility for the visually impaired and provide a chatbot for athletes. MBZUAI's Karima Kadaoui suggests AI could customize equipment and prosthetics for Paralympians, optimizing performance and safety. Why it matters: AI has the potential to democratize access to advanced training technologies and enhance the experience for both athletes and spectators at the Olympic Games.
The International Olympiad in AI (IOAI), a competition for high school students in NLP, CV, and robotics, will be hosted in Abu Dhabi by MBZUAI in 2026. MBZUAI faculty members Yova Kementchedjhieva and Maxim Panov are part of IOAI's International Scientific Committee and helped bring the event to the UAE. The IOAI 2025 in Beijing included individual contests, team challenges, and the GAITE program, testing participants with AI tasks and generalization challenges. Why it matters: Hosting IOAI in Abu Dhabi highlights the UAE's commitment to fostering AI talent and positions MBZUAI as a key player in global AI education.
The Special Olympics Global Center Summit in Abu Dhabi convened 300 advocates to discuss social inclusion for individuals with intellectual disabilities. A panel including MBZUAI's Elizabeth Churchill highlighted AI's role in inclusive technology design, especially in education. Churchill noted AI can personalize learning through tailored regimens, emotion detection, and understanding cognitive patterns. Why it matters: AI-driven personalization has potential to transform education and accessibility for children of determination and other underrepresented groups in the region.
KAUST researchers Anthony Cioppa and Silvio Giancola have developed SoccerNet, an open platform for AI-driven sports analysis. SoccerNet uses a large reference set of soccer game recordings (500 games, 850 hours) to provide a platform for research. It enables researchers to develop AI systems that understand and analyze soccer games. Why it matters: This platform addresses the challenge of limited datasets in sports AI research, fostering innovation and standardized performance comparison.
KAUST is developing high-performance sensors for Saudi athletes, showcased at the Saudi Sports Sensors Workshop 2025. Olympian Rakan Alireza is collaborating with KAUST to utilize sensor technology in his training for the 2026 Winter Olympics. The workshop, co-chaired by KAUST Professor Dana Alsulaiman, aimed to foster collaboration between researchers and the sports community to advance sports science in Saudi Arabia. Why it matters: This initiative aligns with Saudi Vision 2030 by promoting sports innovation, localizing technology, and improving national health and athletic performance.