Professor Hava Siegelmann, a computer science expert, is researching lifelong learning AI, drawing inspiration from the brain's abstraction and generalization capabilities. The research aims to enable intelligent systems in satellites, robots, and medical devices to adapt and improve their expertise in real-time, even with limited communication and power. The goal is to develop AI systems applicable for far edge computing that can learn in runtime and handle unanticipated situations. Why it matters: This research could lead to more resilient and adaptable AI systems for critical applications in remote and resource-constrained environments, with potential benefits for various sectors in the Middle East.
MBZUAI Professor Salman Khan is researching continuous, lifelong learning systems for computer vision, aiming to mimic human learning processes like curiosity and discovery. His work focuses on learning from limited data and adversarial robustness of deep neural networks. Khan, along with MBZUAI professors Fahad Khan and Rao Anwer, and partners from other universities, presented research at CVPR 2022. Why it matters: This research has the potential to significantly improve the ability of AI systems to understand and adapt to the real world, enabling more intelligent autonomous systems.
KAUST is launching the Lifelong Learning Initiative (LLI), offering short, hands-on courses in areas like cybersecurity, food security, and semiconductors. The inaugural AI courses, designed for those with basic coding skills, will start with a "Machine Learning Bootcamp" in Riyadh from May 10-12. The KAUST Artificial Intelligence Initiative (AII) is developing AI class material in partnership with SDAIA. Why it matters: This initiative will upskill Saudi nationals and residents in critical areas like AI, supporting the Kingdom's development objectives and mobilization of the labor market.
MBZUAI's Metaverse Lab is developing AI algorithms for photorealistic virtual humans and dynamic environments. Hao Li, Director of the lab, envisions using the metaverse for immersive learning experiences related to history and culture. He is also working on tools to prevent deepfakes and other cyberthreats. Why it matters: This research at MBZUAI aims to advance AI and immersive technologies for education and address potential risks in the metaverse.
This survey paper reviews recent literature on continual learning in medical imaging, addressing challenges like catastrophic forgetting and distribution shifts. It covers classification, segmentation, detection, and other tasks, while providing a taxonomy of studies and identifying challenges. The authors also maintain a GitHub repository to keep the survey up-to-date with the latest research.