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Research Projects

Neuromorphic Computing and Neuro-optimizer Platforms Utilizing High-yield Passive RRAM Crossbar Arrays

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr. Shubham Sahay
Indian Institute of Technology (IIT)
CO-Principal Investigator
Prof. Yogesh Singh Chauhan
Indian Institute of Technology (IIT)

Project Overview

This project aims to create a high-yield passive RRAM crossbar array, characterize its static and dynamic characteristics, develop a comprehensive compact model, explore advanced AI/ML algorithms and neuro-optimization algorithms, and hardware demonstrate neuromorphic computing and neuro-optimization algorithms. A novel fabrication method will be developed, and a comprehensive behavioral compact model will be formulated. The project aims to create an industry equivalent to the microprocessor industry, solve energy crisis for AI and ML applications, and transform India and Korea into a digital leader. The fabrication flow and compact model will be in high demand by semiconductor memory companies worldwide. The successful demonstration of these neuromorphic computing platforms could open up a start-up for accelerating AI and ML, aligning with the NITI Aayog's national strategy for AI and "make in India" initiative.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
Area of Research
Computer Sciences and Information Technology
Focus Area
Neuromorphic Computing
Start Year
2024
End Year
2027
Sanction Amount
₹ 38.26 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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