One Week Short Course/FDP
on
Artificial Intelligence: Devices to Circuits

(09th January-13th January, 2020)

Recognized by AICTE at par with QIP for recognition/credits

Venue: Indian Institute of Technology Roorkee

Certificates to participants by E&ICT Academy IIT Roorkee


Last Date for Registration: January 3rd, 2020


Eligibility: Faculty/PhD/Research Scholars of engineering/technical institutions and persons from Govt. departments/labs and industry.

Experts from Academia/Industry: Prof. Kaushik Roy (Purdue University), Dr. Vivek De (Intel Corporation), Prof. M.M De Souza (University of Sheffield, UK), Prof. Eleni Vasilaki (University of Sheffield, UK), Prof. Debanjan Bhowmik (IIT Delhi).

Principal Investigator (E&ICT Academy IIT Roorkee): Dr. Sanjeev Manhas

Why AI?

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 device to system level. Implementation of such systems with emerging devices will also be dealt.


Objective of the Course

  • To provide an overview of key concepts and technologies required for implementation of neuromorphic computing.
  • To present the usage of emerging devices for neuromorphic computing systems.
  • To understand various applications of neuromorphic computing for AI.
  • To understand the principles governing the learning and memory of the neuronal connections.
  • Benefits and Outcomes of the Course

  • Participants will understand state-of-the-art AI systems, neural network and hardware implementation of neuromorphic systems.
  • The participants will learn in-memory computation and usage of emerging devices for computation.
  • The participants will learn computational models aiming to advance our understanding of the brain learning mechanisms.

  • Course Program

  • The program is split into lectures and lab sessions.
  • Quizzes and project work for enhanced learning.
  • Hands-on experience on basic & advanced- level topics.
  • Interaction & learning with experts from academia & industry.
  • Certificates to the participants by E&ICT Academy IITR.

  • Course Content:
  • Introduction to Artificially Intelligent Systems.
  • Neural Network and Neuromorphic Systems.
  • Energy Efficient Computing in Nanoscale CMOS.
  • Spintronic Devices for Neuromorphic computing.
  • Beyond traditional ionic memristors.
  • Role of Non-Volatile Memories.
  • Sparse Reservoir Computing.
  • Learning in Brain Circuits.
  • Important Details

    Last Date for Registration:
    January 3rd, 2020
    Seats
    60 seats on first-cum-first-serve basis
    Duration
    5 days, 40 hours
    Registration Fee
    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)
    No travel allowance will be provided.
    Payment mode (Read the instruction for payment)
    Offline: Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee
    Online: Click on the link (https://www.onlinesbi.com/prelogin/icollecthome.htm?corpID=365641)
    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 eict@iitr.ac.in
    Contact Details
    Dr. Sanjeev Manhas (P.I., E&ICT Academy & SPARC, ECE Dept, IITR)
    Dr. Brajesh Kumar Kaushik (P.I., SPARC, ECE Dept, IITR)
    Dr. Sudeb Dasgupta (Co-P.I., SPARC, ECE Dept, IITR)
    eict@iitr.ac.in, eictiitr@gmail.com
    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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