Interactions between neuroscience, artificial intelligence and engineering are needed to solve real world problems. Artificial neural network based machine learning architectures (software and hardware) are of great current interest in academia and industry. At the same time, owing to international brain initiatives, there are also rapid advances happening in Neuroscience. This interdisciplinary course is based on the premise that a two-way interchange between neuroscience and machine learning/AI will be mutually productive. The course focuses on four main areas of robust interactions between engineering and neuroscience (Vision, Speech/Audition, Natural Language, and Reinforcement Learning) and also includes related topics (classical Machine Learning).

The course is organized by the Center for Computational Brain Research (CCBR) – IIT Madras and aims to achieve pedagogical goals by a number of lectures by domain experts in basic neuroscience as well as in machine learning as one interfacial domain between the two emerging fields.

More details about the Center and the winter course can be found in

https://ccbr.iitmadras.in/workshops