Titre:
Recent Trends in AI Hardware and Software
Conférencier:
Abdallah Kassem ,
Notre-Dame University, Lebanon
Lieu:
Université Concordia, EV Building, room EV11.119 ,
Date et heure:
mardi le 11 juin 2024 de
13:00 à 13:00
Résumé: Artificial Intelligence (AI) has become an integral part of our lives, transforming industries and shaping the future. In this talk, we’ll explore the cutting-edge trends in AI hardware and software. Recently, the AI landscape witnessed significant advancements in hardware infrastructure where the custom-built silicon for AI workloads by designing AI Accelerator chips to enhance the performance. Also in AI Hardware, the Graphics Processing Units (GPUs) can handle the parallel processing of massive data and complex mathematical operations. In addition, the Tensor Processing Units (TPUs), Google’s specialized chips optimized for both inference and training in machine learning and the Field-Programmable Gate Arrays (FPGAs) can be used for highly adaptable hardware for various AI applications, including real-time image recognition and natural language processing. In the software level, machine learning (ML) frameworks such as TensorFlow, PyTorch, and scikit-learn continue to evolve, making AI development more accessible and quantum ML explores the intersection of quantum computing and ML for solving complex problems. In summary, the evolution of AI hardware, including GPUs, TPUs, and FPGAs, has significantly influenced ML training. These hardware innovations continue to shape the landscape of AI research and applications.
Note biographique: Abdallah Kassem received his B.S in Microelectronics from University of Quebec in Montreal in 1992, his M.Sc and Ph.D in microelectronic from Ecole polytechnique de Montreal in 1996 and 2004 respectively. From 1996 to 2000, he taught computer architecture, microprocessors and digital electronic courses and laboratories at AUB, LAU in Lebanon. Prof. Kassem joined Notre Dame University-Louaize in 2005 in the Electrical and Computer Engineering department. Prof. Kassem published more than 100 papers in reviewed journals, book Chapters and international conference proceedings. He is an Associate Editor in IEEE Access and a Guest Editor in Elsevier. His research interests include microelectronics design and testing, VLSI, microprocessors, Hardware AI, renewable energy, engineering education/management, ultrasonic applications, hardware/software embedded system, healthcare applications, e-Health and m-Health. Prof. Kassem. He was elected as a chair of IEEE PES/CAS/PEL/IES Lebanon join chapter in 2020-2022 and IEEE SIGHT Chair for 2023-2025. He is an Organizer and TPC member of many IEEE International conferences.