This article previews a presentation by Kevin Murphy (Google Brain) at MBZUAI on a unified perspective of machine learning, based on his book "Probabilistic Machine Learning: Advanced Topics". The presentation will cover the "4 pillars of ML": predictions, decisions, discovery and generation. Murphy will summarize recent methods and his own contributions in each of these tasks. Why it matters: Hosting prominent international AI researchers strengthens MBZUAI's position as a global hub for AI research and education.
Dr. Kevin Cullen has been appointed as the new vice president of KAUST Innovation and Economic Development. He brings over 20 years of experience in academic innovation and business development, previously serving as CEO of Innovations at the University of New South Wales. Cullen aims to lead KAUST's intellectual property portfolio, support new businesses and collaborations with industry, and foster entrepreneurship. Why it matters: This appointment signals KAUST's continued commitment to strengthening its innovation ecosystem and translating research into real-world impact, driving economic development in Saudi Arabia.
Dr. David Edwards from Harvard University spoke at KAUST about creativity in innovative communities. He believes that we are at the dawn of a grassroots renaissance in the arts, sciences and engineering. Edwards highlighted the importance of learning, experimentation, and production centers in fostering innovation. Why it matters: This talk suggests KAUST is looking to foster a cross-disciplinary culture of innovation, aligning with broader trends in AI and technology development that require diverse skill sets.
The content discusses KAUST and its founder King Abdullah. It mentions applying to KAUST and KAUST Discovery. Why it matters: This is a routine update about KAUST.
Conor McMenamin from Universitat Pompeu Fabra presented a seminar on State Machine Replication (SMR) without honest participants. The talk covered the limitations of current SMR protocols and introduced the ByRa model, a framework for player characterization free of honest participants. He then described FAIRSICAL, a sandbox SMR protocol, and discussed how the ideas could be extended to real-world protocols, with a focus on blockchains and cryptocurrencies. Why it matters: This research on SMR protocols and their incentive compatibility could lead to more robust and secure blockchain technologies in the region.
This article is a brief faculty profile of Stefaan De Wolf at KAUST. It appears to be part of a standard template on the KAUST website. Why it matters: Such profiles help showcase the expertise and research areas of faculty at KAUST.
KAUST Assistant Professor Paula Moraga has authored a new textbook, "Spatial Statistics for Data Science: Theory and Practice with R," based on her lectures. The book is available for free on her website and in hard copy through the publisher. Dr. Moraga's research focuses on developing statistical methods and computational tools for geospatial data analysis and health surveillance, with applications in reducing disease burden and identifying high-risk populations. Why it matters: The publication strengthens KAUST's research profile in spatial data science and offers valuable open-source resources for addressing critical challenges in public health and resource management within Saudi Arabia and the broader region.
Krishna Murthy, a postdoc at MIT, researches computational world models to enable robots to understand and operate effectively in the physical world. His work focuses on differentiable computing approaches for spatial perception and interfaces large image, language, and audio models with 3D scenes. Murthy envisions structured world models working with scaling-based approaches to create versatile robot perception and planning algorithms. Why it matters: This research could significantly advance robotics by enabling more sophisticated perception, reasoning, and action capabilities in embodied agents.