Technology Innovation Institute (TII) has appointed Alessio Figali and Pierre-Louis Lions to the Board of Advisors of its Artificial Intelligence Cross-Center Unit (AICCU). Figali is known for his work in Optimal Transport with applications to Machine Learning, while Lions is renowned for his work in Mean Field Game Theory with applications for the design of AI based Distributed Networks. Both are Fields Medal recipients and will advise the AI Cross-Center Unit in areas related to Machine Learning and Distributed AI, respectively. Why it matters: The addition of these eminent scientists will bolster TII's AI research capabilities and credibility in shaping the future of AI in the region.
Professor Marco Amabili, advisor at the Advanced Materials Research Center (AMRC), received the 'Cataldo Agostinelli and Angiola Gili Agostinelli' International Prize from the Lincei National Academy of Sciences of Italy. The award recognizes Prof. Amabili's research in mechanical vibrations, composite structures, and vascular biomechanics. He received the award in Rome from Nobel laureate Professor Giorgio Parisi. Why it matters: The recognition highlights the growing international visibility of UAE-based researchers and the increasing commitment of UAE institutions like TII to deep-tech research.
Emilio Porcu from Khalifa University presented on temporally evolving generalized networks, where graphs evolve over time with changing topologies. The presentation addressed challenges in building semi-metrics and isometric embeddings for these networks. The research uses kernel specification and network-based metrics and is illustrated using a traffic accident dataset. Why it matters: This work advances the application of kernel methods to dynamic graph structures, relevant for modeling evolving relationships in various domains.
KAUST welcomes five new faculty members for the new school year: Andrea Falqui, Daniele Daffonchio, Athanasios Tzavaras, Ying Sun, and Carlo Liberale. The new faculty members come from diverse backgrounds and bring expertise in areas such as bioscience, microbial ecology, and nanostructure imaging. They will contribute to KAUST's vision through research, teaching, and collaboration. Why it matters: The addition of new faculty enhances KAUST's research capabilities and educational offerings, fostering innovation and attracting top talent to the region.
John Pagano, CEO of The Red Sea Development Company and AMAALA, spoke at WEP 2022 about regenerative tourism. He highlighted that AMAALA and The Red Sea Project are the world's most ambitious regenerative projects today, using innovative sustainable methods. In partnership with KAUST, they undertook marine spatial planning simulations to protect the marine environment, conserve 75% of the islands, and designate nine conservation zones. Why it matters: This initiative signals a commitment to sustainable tourism development in Saudi Arabia, leveraging research and technology to minimize environmental impact while creating new industries.
KAUST Professor Peter Markowich discusses the role of mathematics in football, describing a match as a random process with a drift. The randomness stems from player conditions, referee decisions, weather, and more, while the drift represents the higher probability of the better team winning. He notes that the complexity arising from 11 players on each side increases the randomness compared to sports like tennis. Why it matters: This perspective highlights the interplay of chance and skill in sports, offering a mathematical lens for understanding game dynamics.
Alexander Gasnikov from the Moscow Institute of Physics and Technology presented a talk on open problems in convex optimization. The talk covered stochastic averaging vs stochastic average approximation, saddle-point problems and accelerated methods, homogeneous federated learning, and decentralized optimization. Gasnikov's research focuses on optimization algorithms and he has published in NeurIPS, ICML, EJOR, OMS, and JOTA. Why it matters: While the talk itself isn't directly related to GCC AI, understanding convex optimization is crucial for advancing machine learning algorithms used in the region.
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.