Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Sanjukta Bhanja"'
Publikováno v:
SoftwareX, Vol 11, Iss , Pp - (2020)
Many models based on the operation of the neocortex, which is the center of brain intelligence, are emerging. The Hierarchical Temporal Memory (HTM) model is a unique intermediate level model of the neocortex’s layered substructures. The hypothesis
Externí odkaz:
https://doaj.org/article/8278eb4d5e9440acaae635a24ab28c29
Autor:
Sebastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones
Publikováno v:
IEEE Transactions on Computers. 72:1095-1109
Autor:
Sebastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones
Publikováno v:
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).
Publikováno v:
IEEE Transactions on Nanotechnology. 20:503-506
A 2-D grid of circular nanomagnets (NMs) has been effectively used to solve binary quadratic optimization problems via magnetic interaction in the X-Y plane. Reconfiguring this architecture is challenging due to the geometry and spacing constraints i
Publikováno v:
IEEE Transactions on Magnetics. 56:1-8
Computational architectures that rely on an array of dipole-coupled nanomagnetic elements require an energy-efficient method of programming individual elements within the array. As a low-energy, selective method of controlling magnetization, spin–o
Autor:
Kawsher A. Roxy, Alex K. Jones, Stephen Longofono, Sanjukta Bhanja, Arifa Hoque, Sebastien Ollivier
Publikováno v:
IEEE Transactions on Nanotechnology. 19:648-652
Domain-wall memory (DWM), an extension to spin transfer torque-magnetic random access memory (STT-MRAM), stores multiple bits, each bit in an individual domain within a nanowire. The access mechanism of a DWM is carried out with the help of an access
Publikováno v:
Journal of Applied Physics. 132:084102
Artificial intelligence frameworks utilizing unsupervised learning techniques can avoid the bottleneck of labeled training data required in supervised machine learning systems, but the programming time of these systems is inherently limited by their
Domain-Wall Memory (DWM) structures typically bundle nanowires shifted together for parallel access. Ironically, this organization does not allow the natural shifting of DWM to realize \textit{logical shifting} within data elements. We describe a nov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f007045f194d84b99f615ceb6550ea09
Autor:
Kawsher A. Roxy, Sanjukta Bhanja
Publikováno v:
IEEE Transactions on Nanotechnology. 17:368-372
Nanomagnetic coprocessor enacts an energy minimization framework to solve the quadratic optimization problem often arisen in a computer vision paradigm. Our approach relies on the fact that the Hamiltonian of a system of coupled nanomagnets is quadra
Autor:
Sanjukta Bhanja, Roxy Kawsher A.
Publikováno v:
Foundations and Trends® in Electronic Design Automation. 12:1-123