Distinguished Seminar on Generative AI
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⸺ This presentation explores recent breakthroughs in Artificial Intelligence (AI), particularly in the realm of Generative Artificial Intelligence (GenAI). Significant achievements, such as GPT4, BARD, LLaMA, Claude, Dalle-E 2, GitHub copilot and other generative AI engines (AI Foundation Models), along with advancements in machine learning and AI tools, signal an impending technological revolution with profound implications for humanity. Projections suggest AI and GenAI could boost the global GDP by up to 20% by 2025, equating to over $15 trillion in growth. These advancements have catalyzed innovation across domains like powerful and more natural chatbots, virtual assistants, language models, real-time translation, autonomous systems, cognitive robotics, medical diagnosis, remote healthcare monitoring, financial forecasting, and Fintech. Generative AI, spanning diverse technologies that mimic human intelligence, with reinforcement learning through human feedback and transformer algorithms at the forefront, has permeated nearly every sector of the modern economy. The presentation outlines pivotal milestones driving GenAI’s immense growth, highlighting contributions from academia, industry, and government. It also addresses crucial concerns related to security, governance, and privacy, underscoring the potential for adverse societal impacts if not promptly addressed.
Pr. Fakhri Karray
Pr. Fakhri Karray is the inaugural co-director of the University of Waterloo Artificial Intelligence Institute and served as the Loblaws Research Chair in Artificial Intelligence in the department of electrical and computer engineering at the University of Waterloo, Canada. He is also Professor of Machine Learning and held the position of Provost at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a research-oriented artificial intelligence (AI) graduate institution in Abu Dhabi, UAE. Fakhri’s research focuses on operational and generative AI, cognitive machines, natural human-machine interaction, and autonomous and intelligent systems, with applications to virtual care systems, cognitive and self-aware devices, and predictive analytics in supply chain management and intelligent transportation systems. He holds editorial roles in major publications related to intelligent systems and information fusion. Fakhri’s latest textbook, “Elements of Dimensionality Reduction and Manifold Learning,” was published by Springer Nature in early 2023. In 2021, he was honored by the IEEE Vehicular Technology Society (VTS) with the IEEE VTS Best Land Transportation Paper Award for his pioneering research on enhancing traffic flow prediction using deep learning and AI. Furthermore, his research on federated learning in communication systems earned him and his co-authors the 2022 IEEE Communication Society’s MeditCom Conference Best Paper Award. He holds fellowship status in the IEEE, the Canadian Academy of Engineering, and the Engineering Institute of Canada. Additionally, he has served as a Distinguished Lecturer for the IEEE and is a Fellow of the Kavli Frontiers of Science. Fakhri earned his Ph.D. from the University of Illinois Urbana-Champaign, USA.
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