no code implementations • 3 Dec 2022 • Nima Soltani, Hamed M. Jafari, Karim Abdelhalim, Hossein Kassiri, Xilin Liu, Roman Genov
State-of-the-art power efficiency of 21. 3% was achieved at a data-rate of 230Mbps and energy consumption of 21pJ/b.
no code implementations • 30 Jul 2022 • Hamed M. Jafari, Xilin Liu, Roman Genov
Over 95% of the circuit blocks are synergistically shared among the four operating modes, including CPA, CV, IS, and the proposed temperature regulation mode.
1 code implementation • 20 Jun 2022 • Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly.
1 code implementation • 13 May 2022 • Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov
Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities.
no code implementations • 3 Feb 2022 • Ali Alshaarawy, Amirali Amirsoleimani, Roman Genov
In this work, PRUNIX, a framework for training and pruning convolutional neural networks is proposed for deployment on memristor crossbar based accelerators.
no code implementations • 27 Jan 2022 • Jack Cai, Amirali Amirsoleimani, Roman Genov
We present a novel cryptography architecture based on memristor crossbar array, binary hypervectors, and neural network.
no code implementations • 18 Jan 2022 • Corey Lammie, Jason K. Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL) algorithms, but the degree of impact varies based on algorithmic features.
no code implementations • 4 Nov 2020 • Nafiseh Ghoroghchian, David M. Groppe, Roman Genov, Taufik A. Valiante, Stark C. Draper
This is particularly true when the number of nodes is high or there are temporal changes in the network.
no code implementations • 25 Oct 2020 • Nafiseh Ghoroghchian, Stark C. Draper, Roman Genov
Such a model maps signals onto vertices of a graph and the time-space dependencies among signals are modeled by the edge weights.
no code implementations • ECCV 2018 • Mian Wei, Navid Sarhangnejad, Zhengfan Xia, Nikita Gusev, Nikola Katic, Roman Genov, Kiriakos N. Kutulakos
We introduce coded two-bucket (C2B) imaging, a new operating principle for computational sensors with applications in active 3D shape estimation and coded-exposure imaging.