Last Date for Registration: March 13th, 2020
Eligibility: Faculty/PhD Research Scholars of engineering/technical institutions and
persons from Govt. departments/labs and industry.
Experts from Academia/Industry: Prof. Niels Taatgen (Professor,
University of Groningen, Netherlands), Prof. Marieke Van Vugt (Assistant Professor,
University of Groningen, Netherlands), Dr. Partha Pratim Roy (Associate Professor,
IIT Roorkee), Dr. Tapan Gandhi (Associate Professor,
IIT Delhi), Dr. Nithin Nagaraj (Associate Professor, National Institute of Advance Studies (NIAS)), Dr. Vinod Prasad
(Professor, IIT Palakkad), Dr. Varun Dutt (Associate Professor, IIT Mandi),
Dr. Ratna Sharma (Associate Professor, AIIMS Delhi), Dr. Brajesh Kumar Kaushik (Associate Professor, IIT Roorkee)
Dr. R. Balasubramanian (Professor, IIT Roorkee)
Principal Investigator (E&ICT Academy, IIT Roorkee): Dr. Sanjeev Manhas
Principal Investigator (SPARC, IIT Roorkee): Dr. Partha Pratim Roy
Why Artificial Intelligence?
Artificial Intelligence (AI) builds smart machines that imitate the human behavior. This course aims to discuss neuromorphic
computing based on promising spin electronics technologies for AI applications. Recently, neuromorphic computing has demonstrated huge potential for information processing
at low power that leads to highly energy efficient systems. This course will help participant gain knowledge about design of AI systems from Minds to Machines level.
Implementation of such systems with emerging devices will also be dealt.
Objective of the Course
An Insightful Exploration of workings of human brain ranging from Software, Hardware to Biology.
To introduce the areas of Computational Neuroscience, Artificial Intelligence, Neuromorphic Computing and Neural Networks.
To learn various methods, approaches and tools to collect and analyze brain data.
To provide a forum for students, researchers and professionals to interact and collaborate.
Getting hands-on experience of collecting brain waves with the help of EEG and then applying ML/DL to do a classification task.
Benefits and Outcomes of the Course
Getting to know the state-of-the-art technologies for achieving Artificial General Intelligence.
Hands on experience of data collection with EEG and applying Deep Learning to it.
Becoming part of a forum of trained students and researchers to work with leaders and pioneers in
the artificial intelligence domain.
The program is split into lectures and lab sessions.
Quizzes and project work for enhanced learning.
Hands-on experience on basic & advanced- level topics.
There is a presentation competition at the end of the course. The three best presenters will each receive an Amazon Echo dot as prize.
Certificates to the participants by E&ICT Academy IITR.
Introduction to Machine Learning, Deep Learning and live demo of brain waves
Spintronics, Building blocks of cognition and STDP, discussions on how they are interconnected
Retrieving information from EEG and detecting mind-wandering from the same
Discussion on memory in mind and machines and what can and can't be detected from EEG
Functional connectivity in the brain, more ML techniques for EEG
Discussion on how can the artificial systems use connectivity information
Research with and for society and discussion on bridging the gap between academia and industry
Last Date for Registration:
March 13th, 2020
60 seats on first-cum-first-serve basis
5 days, 40 hours
Faculty Members: Rs. 1500/- (with food and accommodation)
Research scholars: Rs. 2000/- (with food and accommodation)
Persons from Industry: Rs. 2500/- (with food and accommodation)
Offline: Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee
How to Apply
You can apply online by click here to fill-up the application form OR you can download offline form and email scanned copy to firstname.lastname@example.org
Dr. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
Dr. Partha Pratim Roy (P.I.,SPARC, CSE Dept, IITR)
Tel: +91-9149130233, +91-1332-286457
A hard copy of the application form along with Demand Draft must reach to the following address: Mr. Prateek Sharma, EICT Academy, ECE Department, IIT Roorkee, Uttarakhand 247667.
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