Speaker: Asim Munawar (IBM Research – USA)
Date: TBA
Time: TBA (Central Time)
Duration: 1 hour
Room: TBA
Abstract:
Large Language Models (LLMs) have brought significant advancements in artificial intelligence, showing capabilities that were once thought impossible. This talk examines how these models reason, process information, and solve problems. We will discuss the developments that allow LLMs to simulate reasoning, their limitations, and the challenges of aligning their outputs with human expectations. Using practical examples and recent research, attendees will gain a better understanding of how LLMs work and how to use their reasoning abilities effectively. This session is designed for anyone interested in understanding and utilizing these powerful tools.
Biography:
Dr. Asim Munawar is a Program Director for Neuro-Symbolic AI at IBM Research. Dr. Munawar received his PhD from Hokkaido University, Japan in evolutionary algorithms. He joined IBM Research in 2012 and has been working in the field of deep learning since 2013. Dr. Munawar has led many deep learning-related research projects and customer engagements in various application domains including but not limited to computer vision, robotics, acoustic analysis, and NLP. His main research interest is the creation of next-generation AI by combining symbolic knowledge and reasoning with data-driven learning methods. He is also interested in learning techniques that better mimic the learning process in the human brain. This includes low-power neuromorphic computing with spiking neural networks and model-free/model-based reinforcement learning algorithms that can learn from weak reward signals. Dr. Munawar has over 50 publications in international journals and peer-reviewed conferences.
Speaker: Murthy Rallapalli (University of North Georgia – USA)
Date: TBA
Time: TBA (Central Time)
Duration: 1 hour
Room: TBA
Abstract:
Modern computers are more powerful than ever, capable of processing vast amounts of data at incredible speeds. However, even the most advanced supercomputers struggle with certain complex problems that remain computationally infeasible. As our digital society generates unprecedented volumes of data, conventional computing technologies face limitations in solving some of the world’s most demanding challenges. Quantum applications span various industries, promising breakthroughs in optimization, cryptography, material science, artificial intelligence, and complex system simulations. In finance, quantum algorithms could enhance risk analysis and portfolio optimization. In healthcare, quantum computing holds potential for drug discovery and genomic analysis. Meanwhile, in logistics and supply chain management, it could revolutionize route optimization and resource allocation. These emerging applications underscore the transformative potential of quantum computing in solving real-world challenges.
Quantum computing, rooted in the principles of quantum mechanics, offers a potential paradigm shift by addressing problems beyond the reach of classical computing. This session explores the fundamental concepts of quantum computing, its current state, key challenges, and its potential to revolutionize industries. Additionally, it examines promising applications in fields such as finance and healthcare, where quantum algorithms could unlock new possibilities for optimization, cryptography, and data analysis.
Biography:
Dr. Murthy Rallapalli is a distinguished researcher and educator specializing in Quantum Computing, Cybersecurity, and Information Systems. His research delves into quantum algorithms, post-quantum cryptography, and the real-world applications of quantum computing in industries such as finance and healthcare. As a Fulbright Scholar, Dr. Rallapalli has lectured and conducted research in several countries bringing advanced concepts in Cybersecurity, Cloud Computing, and Quantum Information Science to diverse academic and professional audiences. In addition to his academic contributions, he holds multiple patents in security, cloud computing, and emerging technologies, and has extensive industry experience, having worked in cybersecurity, compliance, and technology leadership roles across government, intelligence, and nonprofit sectors, as well as with IBM and Honeywell Corporation. Dr. Rallapalli currently holds the position of Professor of Practice in Cybersecurity at the University of North Georgia, where he specializes in teaching and research on advanced security topics.
