Machine Intelligence and Brain Research
Winter Course/Workshop on Computational Brain Research at IIT Madras


Dates :

Jan 2 Wednesday - Jan 9 Wednesday, 2019


Venue :
IC & SR Main Hall and Conference Hall II, IIT Madras

 

The Winter course on Machine Intelligence and Brain Research (MIBR) at IIT Madras is to be held between Jan 2 - Jan 9th 2019. The course is open for registration and the registration link can be found here

IIT Madras students (enrolled in Btech-Final year, M-tech and Dual Degree) can take this course for credit Course ID: 7123: 2 Credits). Details and Expression of interest can be found here.

The course is expected to provide an future opportunity to work with the Chair Professors and Faculty of CCBR undertaking cutting edge research projects (MTech and Dual Degree only) on Machine Intelligence and Neuroscience.

IIT M students who are only interested in the workshop and tutorial but not the course need to register here

There is a limited number of travel grants available for students from outside chennai. For more information, please see contact below

 

Goals of the course

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, Hardware, Statistical Physics).

The Center for Computational Brain Research (CCBR) at IIT Madras:

The CCBR is an interdisciplinary center at IIT Madras focused on a two-way interchange between neuroscience and engineering.

The CCBR-IITM is comprised of faculty across several departments on campus and three visiting chair professors (Partha P Mitra, CSHL; Anand Raghunathan, Purdue; and Mriganka Sur, MIT).

The workshop component of the course will consists of pedagogical lectures and tutorials by invited speakers, foster national and international collaborations in the subject area. An outreach component of the workshop will include participants from the computer industry and medical research. The registration can be done here: for IITM students undertaking the course

As part of the course, we are organising an art exhibition titled "Brain and Machine Intelligence inspired art". Entries for the exhibition can be submitted here.

CCBR Winter course on Machine Intelligence and Brain Research 2019

Tentative Schedule

Day 1: 2nd Jan 2019 (Wednesday)

09:00 am

Prof. Bhaskar Ramamurthi,
Director, IIT Madras

Opening Remarks

09:15 am

Mr. Kris Gopalakrishnan,
Chairman, Axilor Ventures,
Co-Founder, Infosys
Distinguished Alumnus IIT Madras

Workshop Introduction

09:30 am

Prof. Partha Mitra,
Crick-Clay Professor of Biomathematics at Cold Spring Harbor Laboratory,
H N Mahabala Chair Professor, CCBR at IIT Madras

H N Mahabala Chair Professorial Lecture

11:00 am

Coffee break

11:30am

Prof. Paul Martin,
University of Sydney, Australia

Neurobiology of vision: Retina and the LGN

01:00 pm

Lunch

02:00 pm

Prof. Mriganka Sur,
Newton Professor of Neuroscience, Massachusetts Institute of Technology, USA
NR Narayana Murthy Chair Professor, CCBR at IIT Madras

N R Narayanamurthy Chair Professorial Lecture

03:30 pm

Coffee break

04:00 pm

Prof. Jonathan Victor,
Cornell University, USA

Visual System Computations: Initial Cortical Stages

Day 2: Jan 3rd (Thursday)

09:30 am

Prof.Trichur Vidyasagar, University of Melbourne, Australia

Neurobiology of vision: V1 and Beyond

10:30 am

Coffee Break

11:00 am

Prof. Sukhendu Das, Department of Computer Science and Engineering, IIT Madras

Classical Machine Vision

12:00 pm

Prof. Kaushik Mitra, Department of Electrical Engineering, IIT Madras

Modern Machine Vision

01:00 pm

Lunch

02:00 pm

Prof. Xiaoqin Wang, Johns Hopkins University, USA

Neural Coding of Complex Sounds in Central Auditory Systems

03:30 pm

Coffee Break

04:00pm

Prof. Yi Zhou, Arizona State University, USA

The Role of Spatial Hearing in Auditory Scene Analysis.

Day 3: Jan 4 (Friday)

09:00am

Prof. Anna Maria di Sciullo, Université du Québec à Montréal, Canada

Natural Language and the Computational Brain

10:30 am

Coffee Break

11:00 am

Prof Hema Murthy, Department of Computer Science and Engineering, IIT Madras

Machine Learning in Audition

12:00 pm

Prof Mayank Mehta, University of California, Los Angeles,USA

Neural mechanisms of encoding space-time

01:00 pm

Lunch

02:00pm

Prof. Sutanu Chakrabarty, Department of Computer Science and Engineering, IIT Madras

Language/NLP

03:30 pm

Coffee Break

04:00 pm

Prof. Saikat Chatterjee, Department of Information Science and Engineering, KTH EE School, Sweden

Machine Learning Introduction

06:00 pm

Talk by Prof. VS Ramachandran, 
Director of the Center for Brain and Cognition, University of California, San Diego

Day 4: Jan 5 (Saturday)

10:00 am

Fundamentals of Neurobiology Laboratory (Dr Jaikishan Jayakumar)

12 :30 pm

Lunch

01:30 pm

Computer Laboratory Fundamentals of Machine Learning (Mr Keerthi Ram)

4:30 pm

Coffee Break

5:00 pm

Art Event

7:00 pm

Banquet dinner, Westin

 

Day 5: Jan 7 (Monday)

9:00 am

Prof Balaraman Ravindran, Department of Computer Science and Engineering, IIT Madras

Reinforcement Learning

10:00 am

Prof. Anand Raghunathan,
Professor of Electrical & Computer Engineering and Chair of VLSI area at Purdue University, USA
CR Muthukrishnan chair at CCBR IIT Madras

Hardware for Machine Learning: An overview and roadmap

11:00 am

Coffee Break

11:30 am

Dr. Viji Srinivasan, IBM TJ Watson Research Center, USA

ML accelerators

012:30 pm

Lunch

01:30 pm

Dr. Mike Davies, Neuromorphic Computing Lab Intel Labs

The Loihi Neuromorphic Research Chip: Applying Principles of Neural Computation in Pursuit of Breakthroughs in Computing

02:30 pm

Prof V. Kamakoti, Department of Computer Science and Engineering, IIT Madras

Enabling edge intelligence with an open-source hardware ecosystem

03:30 pm

Coffee break

04:00 pm

Prof. Kaushik Roy, Purdue University, USA

From Neuromorphic algorithms to Neuromorphic Hardware

05:00 pm

Prof. Suman Datta, University of Notre Dame, Indiana, USA

Post-CMOS devices for Neuromorphic Computing

 

Day 6: Jan 8 (Tuesday)

09:00am

Prof Blake Richards, University of Toronto, Canada (Remote Talk)

Biological Learning

10:30am

Coffee Break

11:30 am

Prof. Tadashi Isa, Kyoto University, Japan (Remote Talk)

Active Vision

01:00 pm

Lunch

02:00pm

Prof. L A Prashanth, Department of Computer Science and Engineering, IIT Madras

Multi-armed Bandits/ Reinforcement Learning

03:30 PM

Coffee break

 

Day 7: Jan 9 (Wednesday)

 

09:30 am

Prof Hema Murthy, Department of Computer Science and Engineering, IIT Madras

EEG signals in Audition

11:00 am

Coffee Break

11:30 am

Prof Harish Guru Prasad,Department of Computer Science and Engineering, IIT Madras

Basics of Machine Leaning

01:00 pm

Lunch

02:00 pm

 

Additional talk/tutorial from IITM speakers

 

 

3:30 pm

Coffee break

 

4:00 pm

Additional talk/tutorial from IITM speakers

 

5:00 pm

Closing remarks and feedback

 

 

 

 



For any other queries: please Contact Ms Swetha Bhupathi @ ccbriitmadras@gmail.com
Click Here to see previous year conference