Zobrazeno 1 - 10
of 1 695
pro vyhledávání: '"BENNETT, P. H."'
Autor:
Xiao, T. Patrick, Feinberg, Ben, Richardson, David K., Cannon, Matthew, Medu, Harsha, Agrawal, Vineet, Marinella, Matthew J., Agarwal, Sapan, Bennett, Christopher H.
Edge devices are being deployed at increasing volumes to sense and act on information from the physical world. The discrete Fourier transform (DFT) is often necessary to make this sensed data suitable for further processing $\unicode{x2013}$ such as
Externí odkaz:
http://arxiv.org/abs/2409.19071
Autor:
Zogbi, Nicholas, Liu, Samuel, Bennett, Christopher H., Agarwal, Sapan, Marinella, Matthew J., Incorvia, Jean Anne C., Xiao, T. Patrick
The domain wall-magnetic tunnel junction (DW-MTJ) is a versatile device that can simultaneously store data and perform computations. These three-terminal devices are promising for digital logic due to their nonvolatility, low-energy operation, and ra
Externí odkaz:
http://arxiv.org/abs/2301.11382
Autor:
Barzi, Emanuela, Liuti, Simonetta, Nattrass, Christine, Springer, Roxanne, Bennett, Charles H.
Equity, Diversity, and Inclusion (EDI) committees and Codes of Conduct (CoC) have become common in laboratories and physics departments across the country. However, very often these EDI committees and CoC are not equipped to provide practical consequ
Externí odkaz:
http://arxiv.org/abs/2209.06755
Autor:
Robinson, Donald A., Foster, Michael E., Bennett, Christopher H., Bhandarkar, Austin, Webster, Elizabeth R., Celebi, Aleyna, Celebi, Nisa, Fuller, Elliot J., Stavila, Vitalie, Spataru, Catalin D., Ashby, David S., Marinella, Matthew J., Krishnakumar, Raga, Allendorf, Mark D., Talin, A. Alec
Emerging concepts for neuromorphic computing, bioelectronics, and brain-computer interfacing inspire new research avenues aimed at understanding the relationship between oxidation state and conductivity in unexplored materials. Here, we present ruthe
Externí odkaz:
http://arxiv.org/abs/2207.07756
The mass physical and dynamic properties of marine mud deposits are a function of the interaction among a maximum of four sediment Phases as follows: (1) clay mineral solids that often include silt and sand size particles of different mineralogy, (2)
Externí odkaz:
http://arxiv.org/abs/2203.15905
Autor:
Kireev, Dmitry, Liu, Samuel, Jin, Harrison, Xiao, T. Patrick, Bennett, Christopher H., Akinwande, Deji, Incorvia, Jean Anne
CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to parallel data storage and processing. In contrast, the human brain is a living computational signal processing unit that operates with extre
Externí odkaz:
http://arxiv.org/abs/2203.04389
Autor:
Leonard, Thomas, Liu, Samuel, Alamdar, Mahshid, Cui, Can, Akinola, Otitoaleke G., Xue, Lin, Xiao, T. Patrick, Friedman, Joseph S., Marinella, Matthew J., Bennett, Christopher H., Incorvia, Jean Anne C.
In neuromorphic computing, artificial synapses provide a multi-weight conductance state that is set based on inputs from neurons, analogous to the brain. Additional properties of the synapse beyond multiple weights can be needed, and can depend on th
Externí odkaz:
http://arxiv.org/abs/2111.11516
Autor:
Xiao, T. Patrick, Feinberg, Ben, Bennett, Christopher H., Prabhakar, Venkatraman, Saxena, Prashant, Agrawal, Vineet, Agarwal, Sapan, Marinella, Matthew J.
Publikováno v:
IEEE Circuits and Systems Magazine, vol. 22, no. 4, pp. 26-48, 2022
Specialized accelerators have recently garnered attention as a method to reduce the power consumption of neural network inference. A promising category of accelerators utilizes nonvolatile memory arrays to both store weights and perform $\textit{in s
Externí odkaz:
http://arxiv.org/abs/2109.01262
Autor:
Mathews, Pranav O., Duffee, Christian B., Thayil, Abel, Stovall, Ty E., Bennett, Christopher H., Garcia-Sanchez, Felipe, Marinella, Matthew J., Incorvia, Jean Anne C., Hassan, Naimul, Hu, Xuan, Friedman, Joseph S.
Neuromorphic computing systems overcome the limitations of traditional von Neumann computing architectures. These computing systems can be further improved upon by using emerging technologies that are more efficient than CMOS for neural computation.
Externí odkaz:
http://arxiv.org/abs/2107.02238
Autor:
Liu, Samuel, Bennett, Christopher H., Friedman, Joseph S., Marinella, Matthew J., Paydarfar, David, Incorvia, Jean Anne C.
Neuromorphic computing with spintronic devices has been of interest due to the limitations of CMOS-driven von Neumann computing. Domain wall-magnetic tunnel junction (DW-MTJ) devices have been shown to be able to intrinsically capture biological neur
Externí odkaz:
http://arxiv.org/abs/2101.03095