Zobrazeno 1 - 10
of 3 356
pro vyhledávání: '"Garrett, S."'
Neuromorphic Computing promises orders of magnitude improvement in energy efficiency compared to traditional von Neumann computing paradigm. The goal is to develop an adaptive, fault-tolerant, low-footprint, fast, low-energy intelligent system by lea
Externí odkaz:
http://arxiv.org/abs/2310.09692
Autor:
Islam, Md Mazharul, Alam, Shamiul, Rose, Garrett S., Fathy, Aly, Gupta, Sumeet Kumar, Aziz, Ahmedullah
Phase transition materials (PTM) have drawn significant attention in recent years due to their abrupt threshold switching characteristics and hysteretic behavior. Augmentation of the PTM with a transistor has been shown to provide enhanced selectivit
Externí odkaz:
http://arxiv.org/abs/2310.09292
Autor:
Islam, Md Mazharul, Alam, Shamiul, Jahangir, Mohammad Adnan, Rose, Garrett S., Datta, Suman, Narayanan, Vijaykrishnan, Gupta, Sumeet Kumar, Aziz, Ahmedullah
Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense amplifier (SA) topologies based on phase transition material (PTM) tailo
Externí odkaz:
http://arxiv.org/abs/2308.15756
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee. Its main focus has been as a vehicle for chip design with memristive elements; however it has also been the vehicle for all-digital CMOS
Externí odkaz:
http://arxiv.org/abs/2307.15232
Synapse is a key element of any neuromorphic computing system which is mostly constructed with memristor devices. A memristor is a two-terminal analog memory device. Memristive synapse suffers from various challenges such as forming at high voltage,
Externí odkaz:
http://arxiv.org/abs/2306.13721
Autor:
Das, Hritom, Febbo, Rocco D., Tushar, SNB, Chakraborty, Nishith N., Liehr, Maximilian, Cady, Nathaniel, Rose, Garrett S.
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers, 10 August 2023
Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in the commonly used voltage-pulse-based programming approaches and requir
Externí odkaz:
http://arxiv.org/abs/2306.06551
Autor:
Das, Hritom, Febbo, Rocco D., Rizzo, Charlie P., Chakraborty, Nishith N., Plank, James S., Rose, Garrett S.
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. Our proposed synapse demonstrates reliability in the face of process va
Externí odkaz:
http://arxiv.org/abs/2305.16418
Publikováno v:
International Journal of Sports Physical Therapy, Vol 19, Iss 9 (2024)
# Background Athlete injury risk assessment and management is an important, yet challenging task for sport and exercise medicine professionals. A common approach to injury risk screening is to stratify athletes into risk groups based on their perfor
Externí odkaz:
https://doaj.org/article/d8d7a6faa1d64cfaa22f4e335753efa2
Publikováno v:
Sports Medicine - Open, Vol 10, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/3964d6ab58a74ba4a31cc07014755906