Research Papers
Explore the cutting-edge research presented in this session
1
Paper ID: 1An Area-Efficient Hardware Architecture and Implementation of Back-Propagation Algorithm-based Training Accelerator for Convolutional Neural Network
2:00 PM - 2:15 PM
Rahul ShresthaNitesh Kumar Saini
2
Paper ID: 269ReMAC: A Multi-precision Reconfigurable MAC Array Architecture for Arbitrary-Kernel based Hardware Accelerator
2:15 PM - 2:30 PM
Teena JangidAnand Darji
3
Paper ID: 147A Methodology for Security-Aware Lightweight Deep Neural Network Acceleration Implementation
2:30 PM - 2:45 PM
Abhishek YadavAyush DixitVyom GuptaBinod Kumar
4
Paper ID: 187Magnetic Skyrmions-Based Rectified Linear Unit (ReLU) for Deep Neural Networks
2:45 PM - 3:00 PM
Shivangi ShringiSrinivasu BodapatiSrikant Srinivasan
5
Paper ID: 164POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
3:00 PM - 3:15 PM
Mukul Vishnu LokhandeSantosh Vishvakarma
6
Paper ID: 371A Systematic Approach for Implementing Variants of Exponentiation and Logarithmic Functions on Stochastic Bitstreams
3:15 PM - 3:30 PM
Shyamali MitraSohan DebnathNibaran DasMrinal K Naskar