Fuzzy Systems: Crossing the barrier of 100000 Variables - Professor Nikhil Pal
Room 408, Level 06, UTS Building 11 (CB11.06.408)
ultimo, australia
Event description
Fuzzy Systems: Crossing the barrier of 100000 variables!
2024 UTS FEIT Research Excellence Lecture Series - Guest Lecture
Abstract
In this presentation, we discuss the limitations of large language models (LLMs), especially in areas requiring
interpretability, explainability, and trustworthiness, such as healthcare and nuclear diagnostics. While LLMs have
proven effective, fuzzy rule-based systems offer better interpretability and trust. However, fuzzy systems
struggle with high-dimensional data due to numerical underflow. We propose a method to design fuzzy systems for
high-dimensional datasets without dimensionality reduction, ensuring underflow is avoided. This approach, tested
on datasets with over 100,000 dimensions for classification and regression tasks, aims to improve trustworthiness
and explainability, though its full effectiveness remains under evaluation.
Speaker Biography
Nikhil R Pal, is a professor at Techno India University, Calcutta, and an Honorary Visiting Professor at South
Asian University, New Delhi. He was previously a professor and the founding head of the Center for Artificial
Intelligence and Machine Learning at the Indian Statistical Institute. His research focuses on brain science,
computational intelligence, machine learning, and data mining. Professor Pal was Editor-in-Chief of IEEE
Transactions on Fuzzy Systems (2005–2010) and has served on numerous journal editorial boards. He has
received prestigious awards, including the IEEE CIS Fuzzy Systems Pioneer Award (2015) and Meritorious Service
Award (2021). He has held leadership roles in IEEE CIS, including President (2018-2019), and is a Fellow of
multiple esteemed academies, including IEEE, USA, and IFSA.
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