Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Catherine D. Schuman"'
Autor:
Jaeseoung Park, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain, Gopabandhu Hota, Erbin Qiu, Amelie L. Nagle, Ivan K. Schuller, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract CMOS-RRAM integration holds great promise for low energy and high throughput neuromorphic computing. However, most RRAM technologies relying on filamentary switching suffer from variations and noise, leading to computational accuracy loss, i
Externí odkaz:
https://doaj.org/article/e06bf38281154f59bfcf421cf1e74b46
Autor:
Maryam Parsa, John P. Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
In resource-constrained environments, such as low-power edge devices and smart sensors, deploying a fast, compact, and accurate intelligent system with minimum energy is indispensable. Embedding intelligence can be achieved using neural networks on n
Externí odkaz:
https://doaj.org/article/120e6ea5d9524e6a9b83226f0f3057af
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:2433-2449
Autor:
William T. McClintic, Haden L. Scott, Nick Moore, Mustafa Farahat, Mikayla Maxwell, Catherine D. Schuman, Dima Bolmatov, Francisco N. Barrera, John Katsaras, C. Patrick Collier
Publikováno v:
MRS Bulletin. 48:13-21
Abstract In biology, heterosynaptic plasticity maintains homeostasis in synaptic inputs during associative learning and memory, and initiates long-term changes in synaptic strengths that nonspecifically modulate different synapse types. In bioinspire
Autor:
Karan P. Patel, Catherine D. Schuman
Publikováno v:
Neuro-Inspired Computational Elements Conference.
Autor:
Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 18:1-20
This work addresses how to naturally adopt the l 2 -norm cosine similarity in the neuromemristive system and studies the unsupervised learning performance on handwritten digit image recognition. Proposed architecture is a two-layer fully connected ne
Autor:
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Publikováno v:
Nature Computational Science. 2:10-19
Publikováno v:
2022 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK).
Autor:
Robert Patton, Prasanna Date, Shruti Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman
Publikováno v:
2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA).
Publikováno v:
Neurocomputing. 447:145-160
Software simulators play a critical role in the development of new algorithms and system architectures in any field of engineering. Neuromorphic computing, which has shown potential in building brain-inspired energy-efficient hardware, suffers a slow