Fudan University's Zhongyu Wei presented research on social simulation driven by LLMs, covering individual and large-scale social movement simulation. Wei directs the Data Intelligence and Social Computing Lab (Fudan DISC) and has published extensively on multimodal large models and social computing. His work includes the Volcano multimodal model, DISC-MedLLM, and ElectionSim. Why it matters: Using LLMs for social simulation could provide new tools for understanding and potentially predicting social dynamics in the Arab world.
Yanwei Fu from Fudan University will present research on multimodal models, robotic grasping, and fMRI neural decoding. Topics include few-shot learning, object-centered self-supervised learning, image manipulation, and visual-language alignment. The research also covers Transformer compression and applications of large models with MVS 3D modeling in robotic arm grasping. Why it matters: While the talk is not directly about Middle East AI, the topics covered are core to advancing AI research and applications in the region.
This article previews a talk by Dr. Wei Cai of CUHK-Shenzhen on the history, development, and future trends of the Web3 metaverse. The talk will cover industrial Web3 metaverse cases, recent research outcomes, and the metaverse research spectrum. Dr. Cai's research interests include blockchain, Web 3.0, digital games, and computational art. Why it matters: As metaverse technologies continue to evolve, understanding the Web3 perspective and research directions is important for regional AI and technology development.
KAUST Ph.D. student Amal Mohammed Alamri was a finalist in the July 2018 IEEE nanoArt Competition, part of the 18th IEEE International Conference on Nanotechnology in Cork, Ireland. Her work, displayed at University College Cork and Crawford/CIT Gallery, involved stacking n-type MoS2 single crystal with p-type perovskite CH3NH3PbBr3 single crystal. Alamri's IEEE Nano paper entitled "Photonic Single Crystal Heterostructures based on Perovskites/Molybdenum disulfide" was also presented at the conference. Why it matters: This highlights KAUST's contribution to nanotechnology research and its students' participation in international scientific events.
KAUST Associate Professor Derya Baran was named one of Forbes’ 20 Women Behind Middle Eastern Tech Brands for her work developing iyris SecondSky, a greenhouse roofing product. SecondSky uses nanoparticle additives to block heat while allowing light to pass through, reducing energy consumption by up to 40% and water use by 30%. The technology is already used in farms across 12 countries and is being considered for residential and commercial construction in Saudi Arabia. Why it matters: This recognition highlights the growing role of women in Middle Eastern tech and the potential for KAUST-developed technologies to address sustainability challenges in the region.
LibrAI is an AI startup founded by Xudong Han, a University of Melbourne PhD graduate, in December 2023 after the release of ChatGPT. The company focuses on advancing AI safety and responsible AI practices, building on Han's prior work creating FairLib, an open-source toolkit for fairness in deep neural networks. LibrAI's team of seven aims to create practical solutions ensuring AI is both responsible and revolutionary. Why it matters: The establishment of a startup focused on AI safety highlights growing awareness of ethical considerations in AI development within the region.
MBZUAI student-led startup okkslides, incubated within the University’s Incubation and Entrepreneurship Center (IEC), is developing an AI-native presentation tool. Founded by Lan Wei, a computer science Ph.D. candidate, and Steve Liu, a professor at MBZUAI, okkslides aims to transform messy inputs into executive-grade narratives. The platform focuses on augmenting human reasoning with AI to capture brand nuance and support iterative, human-led collaboration in presentation creation. Why it matters: This highlights the growing entrepreneurial ecosystem at MBZUAI and the potential for AI to improve professional workflows in the region.
KAUST researchers introduced MOLE, a framework leveraging LLMs for automated metadata extraction from scientific papers. The system processes documents in multiple formats and validates outputs, targeting datasets beyond Arabic. A new benchmark dataset has been released to evaluate progress in metadata extraction.