VIJAY CHANDRU
Indian Institute of Science, Bengaluru
Vijay Chandru is currently an INAE distinguished technologist at IISc and an Adjunct / Visiting Professor of the Division of Interdisciplinary Research in Bio-Engineering and in Cyber Physical Systems. Formally trained in Electrical Engineering (BITS, Pilani), Systems Science and Engineering (UCLA) and in Decision Sciences (MIT), he has over 35 years of research experience and academic career in teaching and research in computational mathematics at Purdue University (1982–1992) and the Indian Institute of Science since 1992. As a technology entrepreneur, he was one of the inventors of the Simputer® and currently serves as the Founder Director of Strand Life Sciences, both spinoffs from IISc. He was named a Technology Pioneer of the World Economic Forum in 2006 and is a recipient of the Hari Om Trust Award from the University Grants Commission (2003) and the President’s Medal of the Institute for Operations Research and Management Science (INFORMS) in 2006. He is a Fellow of INAE and ORSI (Operations Research Society of India) and is the President of ORSI. He was elected as a Fellow of the Indian Academy of Sciences in 1996.
SESSION 3C: Special Lecture
N Viswanadham, IISc, Bengaluru
The sciences of the artificial: Promise and reality View Presentation
The natural sciences describe objects in nature, while the sciences of the artificial describe artifacts that come from human intervention in the natural world. This perspective helped the Nobel laureate Herbert Simon pioneer the integration of cognitive, mathematical and computational methods to study artificial complexity and confirm the thesis that a physical symbol system and the computer as an artifact have the necessary means for intelligent action. Ideas of machine intelligence go back to the early postwar period with Alan Turing’s famous formulation of the imitation game which became known as the Turing test. Artificial and Augmented Intelligence joined hands with the decision sciences and became an integral part of the data analytics toolbox. Today Artificial Intelligence or AI is synonymous with ‘deep learning’. For AI, the departure from the computer as an artifact began in the 90s with the advent of the cloud and great advances in training hardware and software for artificial neural networks. Geoffrey Hinton in Toronto has built this magnificent edifice of deep learning, which has become all pervasive.