Back close

Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization

Start Date: December, 2022

Project Incharge: Dr. C Shunmuga Velayutham, Dr. G. Jeyakumar, Dr. S Thangavelu

School: School of Computing

Funded by: Multicoreware

Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization

The project titled “Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization” is a ongoing funded project for Multicoreware. Principal Investigator and Co-Principal Investigator for the project are Dr. C. Shunmuga Velayutham, Dr. G. Jeyakumar, Dr. S. Thangavelu, Amrita School of Computing, Coimbatore. The project grant is Rs. 8,00,000 and duration is one year.

Related Projects

VLSI architecture for Reliability based soft decision decoding of turbo codes for satellite communication
VLSI architecture for Reliability based soft decision decoding of turbo codes for satellite communication
Statistical Semantic Networks for Concept and Document Relatedness
Statistical Semantic Networks for Concept and Document Relatedness
Sanitation Awareness Through Water Testing – Ratanpur, Bihar and Muruganpatti, Madurai District, Tamil Nadu
Sanitation Awareness Through Water Testing – Ratanpur, Bihar and Muruganpatti, Madurai District, Tamil Nadu
Screening for Autism
Screening for Autism
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
Admissions Apply Now