Session: AI's Evolution : From Symbolic Representations to Generative Intelligence
Artificial Intelligence (AI) has embarked on an extraordinary journey, progressing from symbolic representations to the realm of generative AI. This talk explores AI's captivating journey, providing a concise yet comprehensive overview that begins with its historical origins and traces its remarkable evolution.
In today's AI landscape, we witness the prominence of unsupervised learning and generative AI models. We delve into the principles of unsupervised learning, where AI systems autonomously detect patterns and structures within vast datasets, unlocking new dimensions of data analysis and understanding. We also explore the emergence of generative models, exemplified by innovations like GPT-3, which have revolutionized AI by comprehending and generating human-like text, images, and more.
The talk delves into the profound impact of AI's evolution on various industries, spanning healthcare, finance, and creative arts, highlighting its transformative potential. Ethical considerations in AI, including bias and privacy, are also discussed, promoting a holistic perspective on the technology's ongoing progress.
This presentation equips the audience with a deeper understanding of AI's journey, from its roots in symbolic, rule-based, and supervised systems to its present state of generative intelligence, encouraging reflection on the exciting possibilities and challenges ahead as AI continues to shape our world in unprecedented ways.
Bio
Dr. Kaoutar El Maghraoui is an accomplished Principal Research Scientist at the prestigious IBM T.J. Watson Research Center and an Adjunct Professor of Computer Science at Columbia University in the City of New York. Kaoutar's work resides at the intersection of systems and artificial intelligence (AI). Within IBM, she spearheads the AI testbed at the IBM Research AI Hardware Center, a prominent global research hub dedicated to advancing efficient next-generation accelerators and systems tailored for AI workloads. Her leadership extends to open-source development and enhancing the cloud end-user experience for IBM's emerging Digital and Analog AI accelerators. Her research areas span systems research, distributed systems, high-performance computing, and AI. Her academic journey includes earning a Ph.D. from Rensselaer Polytechnic Institute in the USA and a bachelor’s and master’s Degrees from Al Akhawayn University in Morocco.
Dr. El Maghraoui has received many accolades and awards throughout her career. These include the Robert McNaughton Award for best thesis in computer science, Best of IBM award in 2021, IBM’s Eminence and Excellence award for leadership in increasing Women’s presence in science and technology, several IBM outstanding technical accomplishments, 2021 IEEE TCSVC Women in Service Computing award, and 2022 IBM Technical Corporate award. Kaoutar is the global vice-chair of the Arab Women in Computing organization, a MoroccoAI non-profit organization board member, and an active member in many women in science and technology initiatives. She is an ACM Distinguished Member, Senior IEEE Member, and member of the Society of Women Engineers, TinyML foundation, and AnitaB.org.