3k citations · 3.8k across the 23 of their papers we have counts for
24 papers
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar +84
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time…
Mitigating Imperfections in Mixed-Signal Neuromorphic Circuits
Z. Fahimi, M. R. Mahmoodi, M. Klachko +3
The progress in neuromorphic computing is fueled by the development of novel nonvolatile memories capable of storing analog information and implementing neural computation efficien…
Memristor Hardware-Friendly Reinforcement Learning
Nan Wu, Adrien Vincent, Dmitri Strukov +1
Recently, significant progress has been made in solving sophisticated problems among various domains by using reinforcement learning (RL), which allows machines or agents to learn…
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories
Mohammad Bavandpour, Shubham Sahay, Mohammad Reza Mahmoodi +1
The first contribution of this paper is the development of extremely dense, energy-efficient mixed-signal vector-by-matrix-multiplication (VMM) circuits based on the existing 3D-NA…
4K-Memristor Analog-Grade Passive Crossbar Circuit
Hyungjin Kim, Hussein Nili, Mahmood Mahmoodi +1
The superior density of passive analog-grade memristive crossbars may enable storing large synaptic weight matrices directly on specialized neuromorphic chips, thus avoiding costly…
Energy-Efficient Moderate Precision Time-Domain Mixed-signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays
Shubham Sahay, Mohammad Bavandpour, Mohammad Reza Mahmoodi +1
The emerging mobile devices in this era of internet-of-things (IoT) require a dedicated processor to enable computationally intensive applications such as neuromorphic computing an…