17 citations · 23 across the 14 of their papers we have counts for
3 papers · 1 filter
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
Mustafizur Rahman, Subhankar Bose, Shantanu Chakrabartty
Synaptic memory consolidation has been heralded as one of the key mechanisms for supporting continual learning in neuromorphic Artificial Intelligence (AI) systems. Here we report…
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning
Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty +1
Bias-scalable analog computing is attractive for implementing machine learning (ML) processors with distinct power-performance specifications. For instance, ML implementations for…
Energy-dissipation Limits in Variance-based Computing
Sri Harsha Kondapalli, Xuan Zhang, Shantanu Chakrabartty
Variance-based logic (VBL) uses the fluctuations or the variance in the state of a particle or a physical quantity to represent different logic levels. In this letter we show that…