KAUST's Center of Excellence for Generative AI will host the fourth annual "Rising Stars in AI" Symposium from April 7-10, 2025. The symposium is designed for emerging researchers (PhD students, PostDocs, and early career faculty) to discuss AI research. Selected speakers will have their flights and hotel expenses covered. Why it matters: This event provides a platform for young AI researchers to present their work and network with peers, fostering innovation and collaboration in the field.
MBZUAI held its inaugural Human-Computer Interaction (HCI) Symposium in Abu Dhabi, focusing on the human and societal impacts of AI. The event, led by Professor Elizabeth Churchill, featured workshops and keynotes from figures like Google's Matias Duarte. Participants collaborated to address critical design aspects of human-AI interaction and co-author a book. Why it matters: The symposium highlights the increasing importance of human-centered design in AI development, ensuring AI tools are useful, desirable, and beneficial for society in the GCC region and beyond.
KAUST hosted the fifth Rising Stars in AI Symposium, convening 25 early-career AI researchers from over 430 applicants. Discussions centered on reasoning in AI models, AI's role in addressing global challenges, embodied systems, and the necessity of trustworthy AI. Participants, including Dr. Sahar Abdelnabi from the ELLIS Institute Tübingen, emphasized the symposium's value for collaboration and identifying future AI research directions. Why it matters: The event highlights KAUST's commitment to fostering emerging AI talent and addressing critical issues in the field, with a focus on AI's real-world impact and ethical considerations.
KAUST held its Rising Stars in AI Symposium 2025, organized by the Center of Excellence for Generative AI, from April 7-10. The symposium hosted 25 emerging researchers to present their work in generative AI, machine learning, CV, and NLP. KAUST leadership emphasized the university's commitment to AI research and its role in fostering global collaboration and innovation in the field. Why it matters: The event highlights KAUST's ambition to become a central hub for AI research and talent development in Saudi Arabia, aligning with the Kingdom's broader AI strategy.
Bruno Ribeiro from Purdue University presented a talk on Asymmetry Learning and Out-of-Distribution (OOD) Robustness. The talk introduced Asymmetry Learning, a new paradigm that focuses on finding evidence of asymmetries in data to improve classifier performance in both in-distribution and out-of-distribution scenarios. Asymmetry Learning performs a causal structure search to find classifiers that perform well across different environments. Why it matters: This research addresses a key challenge in AI by proposing a novel approach to improve the reliability and generalization of classifiers in unseen environments, potentially leading to more robust AI systems.
KAUST showcased its AI initiatives at the 2022 Global AI Summit in Riyadh, highlighting its efforts to increase AI capacity and innovation in Saudi Arabia. Jurgen Schmidhuber, Director of the KAUST AI Initiative, addressed attendees on AI and deep learning, while Provost Lawrence Carin and Deputy Director Bernard Ghanem discussed AI talent development. KAUST is partnering with public and private sector institutions to embed AI in key areas such as security, energy, data analytics, and health. Why it matters: This participation reinforces KAUST's central role in advancing AI research and development within the Kingdom and aligns with Saudi Arabia's broader vision for technological leadership.
Paul Liang from CMU presented on machine learning foundations for multisensory AI, discussing a theoretical framework for modality interactions. The talk covered cross-modal attention and multimodal transformer architectures, and applications in mental health, pathology, and robotics. Liang's research aims to enable AI systems to integrate and learn from diverse real-world sensory modalities. Why it matters: This highlights the growing importance of multimodal AI research and its potential for advancements across various sectors in the region, including healthcare and robotics.