Zobrazeno 1 - 8
of 8
pro vyhledávání: '"A N M Nafiul Islam"'
Autor:
A N M Nafiul Islam, Kezhou Yang, Amit Kumar Shukla, Pravin Khanal, Bowei Zhou, Wei‐Gang Wang, Abhronil Sengupta
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Despite the promise of superior efficiency and scalability, real‐world deployment of emerging nanoelectronic platforms for brain‐inspired computing have been limited thus far, primarily because of inter‐device variations and intrinsic non‐ide
Externí odkaz:
https://doaj.org/article/93cc456af213493f8f1fa719ef184935
Autor:
Sandip Mondal, Zhen Zhang, A. N. M. Nafiul Islam, Robert Andrawis, Sampath Gamage, Neda Alsadat Aghamiri, Qi Wang, Hua Zhou, Fanny Rodolakis, Richard Tran, Jasleen Kaur, Chi Chen, Shyue Ping Ong, Abhronil Sengupta, Yohannes Abate, Kaushik Roy, Shriram Ramanathan
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 10, Pp n/a-n/a (2022)
Habituation and sensitization represent nonassociative learning mechanisms in both non‐neural and neural organisms. They are essential for a range of functions from survival to adaptation in dynamic environments. Design of hardware for neuroinspire
Externí odkaz:
https://doaj.org/article/ff5a7a20e83641cfa5567e848ae5f442
Publikováno v:
IEEE Transactions on Electron Devices. 69:3135-3141
Autor:
Sunbin Deng, Haoming Yu, Tae Joon Park, A. N. M. Nafiul Islam, Sukriti Manna, Alexandre Pofelski, Qi Wang, Yimei Zhu, Subramanian K. R. S. Sankaranarayanan, Abhronil Sengupta, Shriram Ramanathan
Publikováno v:
Science Advances. 9
The cointegration of artificial neuronal and synaptic devices with homotypic materials and structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate experimental realization of vanadium dioxide (VO 2 ) artificial neuron
Autor:
Hai-Tian Zhang, Tae Joon Park, A. N. M. Nafiul Islam, Dat S. J. Tran, Sukriti Manna, Qi Wang, Sandip Mondal, Haoming Yu, Suvo Banik, Shaobo Cheng, Hua Zhou, Sampath Gamage, Sayantan Mahapatra, Yimei Zhu, Yohannes Abate, Nan Jiang, Subramanian K. R. S. Sankaranarayanan, Abhronil Sengupta, Christof Teuscher, Shriram Ramanathan
Publikováno v:
Science. 375:533-539
Reconfigurable devices offer the ability to program electronic circuits on demand. In this work, we demonstrated on-demand creation of artificial neurons, synapses, and memory capacitors in post-fabricated perovskite NdNiO3devices that can be simply
Autor:
Tae Joon Park, Sunbin Deng, Sukriti Manna, A. N. M. Nafiul Islam, Haoming Yu, Yifan Yuan, Dillon D. Fong, Alexander A. Chubykin, Abhronil Sengupta, Subramanian K. R. S. Sankaranarayanan, Shriram Ramanathan
Publikováno v:
Advanced materials (Deerfield Beach, Fla.).
The fields of brain-inspired computing, robotics, and, more broadly, artificial intelligence (AI) seek to implement knowledge gleaned from the natural world into human-designed electronics and machines. In this review, the opportunities presented by
Achieving brain-like density and performance in neuromorphic computers necessitates scaling down the size of nanodevices emulating neuro-synaptic functionalities. However, scaling nanodevices results in reduction of programming resolution and emergen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c9ffc4c74e52ece2a0317585acaacd
Publikováno v:
Applied Physics Letters. 119:133701
Nanoelectronic devices emulating neuro-synaptic functionalities through their intrinsic physics at low operating energies are imperative toward the realization of brain-like neuromorphic computers. In this work, we leverage the non-linear voltage dep