Time： 8:10 am, October 8, 2019
Location： Room 2-6001, iHarbour Campus
Title: Artificial Intelligence: ‘Winters’ and ‘Booms’- what we got and what we miss
Lecturer： Nikhil R Pal, Member of the Indian Academy of Sciences and the Academy of Engineering
Inviter： Professor Ruqiang YAN
Lecture Information:
In this talk I shall briefly go through the history of evolution of AI – how it has sailed through “AI Winters” and “AI Booms” and has come to the present state. In the recent past there have been several success stories of AI systems, often beating human performance and this has caused our expectation from AI to skyrocket. In many cases, neural networks, in particular deep neural networks, are the main pillars of such systems. But are these systems comprehensible and/or biologically plausible? In most cases, they are not! In my view, comprehensibility of a system depends, at least, on the following: simplicity, transparency, explainability, trustworthiness, and the biological plausibility of such systems. Ideally, we should strive for realizing all these attributes in any AI system, but this is very difficult. So I shall follow an easier path to describe how some these attributes may be realized separately. I shall illustrate each case with some examples.
