Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Bryan L, Jackson"'
Autor:
Joseph Gagliardo, J. P. Grossman, Andrew Parker, Anthony Forte, Jeremy Hunt, Peter J. Adams, Brian Towles, Adam McLaughlin, Michael Theobald, Jochen Spengler, Jon L. Peticolas, Keun Sup Shim, Mark A. Moraes, Madeleine J. Weingarten, Naseer Siddique, Gennette Gill, Lawrence J. Nociolo, Michael Wazlowski, Jhanvi Bhatt, Bryan L. Jackson, Brannon Batson, Timothy Correia, Jeffrey S. Kuskin, T. Carl Schwink, Stanley C. Wang, Terry Quan, Roy J. Mader, Alistair Bell, William Vick, Lief O'Donnell, Maria Gorlatova, Peter Feldmann, Bruce Edwards, Mollie M. Kirk, Mohamed H. Nasr, J. Adam Butts, Richard McGowen, John M. Williams, Brian Greskamp, David E. Shaw, Christopher H. Fenton
Publikováno v:
HCS
• Understand biomolecular systems through their motions •Numerical integration of Newton's laws of motion — Model atoms as point masses — Compute forces on every atom based on current positions — Update atom velocities and positions in disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffba539761972839b9e573a80c28a8fb
https://doi.org/10.1109/hcs52781.2021.9567084
https://doi.org/10.1109/hcs52781.2021.9567084
Autor:
Bryan L. Jackson, Andrew S. Cassidy, John V. Arthur, Myron D. Flickner, Jack Sampson, R Davis, Dharmendra S. Modha, Alexander Andreopoulos, Wei-Yu Tsai, Michael DeBole, Vijaykrishnan Narayanan
Publikováno v:
IEEE Transactions on Computers. 66:996-1007
Deep neural networks (DNN) have been shown to be very effective at solving challenging problems in several areas of computing, including vision, speech, and natural language processing. However, traditional platforms for implementing these DNNs are o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c355d079b162f4bb28e2d07c68a17cd9
https://doi.org/10.1109/tc.2016.2630683
https://doi.org/10.1109/tc.2016.2630683
Autor:
Dharmendra S. Modha, Bruno U. Pedroni, John V. Arthur, Srinjoy Das, Gert Cauwenberghs, Bryan L. Jackson, Kenneth Kreutz-Delgado, Paul A. Merolla
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 10:837-854
Stochastic neural networks such as Restricted Boltzmann Machines (RBMs) have been successfully used in applications ranging from speech recognition to image classification. Inference and learning in these algorithms use a Markov Chain Monte Carlo pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e02b7d8ed1febb83dff3129ed834cfd
https://doi.org/10.1109/tbcas.2016.2539352
https://doi.org/10.1109/tbcas.2016.2539352
Autor:
Bryan L. Jackson, Rajit Manohar, Andrew S. Cassidy, Brian Taba, Gi-Joon Nam, Paul A. Merolla, Rodrigo Alvarez-Icaza, William P. Risk, Jente B. Kuang, Pallab Datta, Filipp Akopyan, Michael P. Beakes, John V. Arthur, Nabil Imam, Bernard Brezzo, Yutaka Nakamura, Dharmendra S. Modha, Jun Sawada
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 34:1537-1557
The new era of cognitive computing brings forth the grand challenge of developing systems capable of processing massive amounts of noisy multisensory data. This type of intelligent computing poses a set of constraints, including real-time operation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4608c0c8298c2492f7d58bbe0cd2a77
https://doi.org/10.1109/tcad.2015.2474396
https://doi.org/10.1109/tcad.2015.2474396
Autor:
Bryan L. Jackson, Filipp Akopyan, Andrew S. Cassidy, Arnon Amir, Rodrigo Alvarez-Icaza, Rajit Manohar, Steven K. Esser, Paul A. Merolla, John V. Arthur, Myron D. Flickner, Dharmendra S. Modha, Jun Sawada, Yutaka Nakamura, William P. Risk, Ivan Vo, Bernard Brezzo, Rathinakumar Appuswamy, Brian Taba, Nabil Imam, Chen Guo
Publikováno v:
Science. 345:668-673
Modeling computer chips on real brains Computers are nowhere near as versatile as our own brains. Merolla et al. applied our present knowledge of the structure and function of the brain to design a new computer chip that uses the same wiring rules an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddea8d132ab672af1b9c3e153f9189a8
https://doi.org/10.1126/science.1254642
https://doi.org/10.1126/science.1254642
Autor:
Greg S. Corrado, Roger W. Cheek, Dharmendra S. Modha, Chung H. Lam, Simone Raoux, B. N. Kurdi, Bryan L. Jackson, Alvaro Padilla, Kailash Gopalakrishnan, R. S. Shenoy, Charles T. Rettner, A. G. Schrott, Geoffrey W. Burr, Bipin Rajendran, Matthew J. Breitwisch
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 9:1-20
The memory capacity, computational power, communication bandwidth, energy consumption, and physical size of the brain all tend to scale with the number of synapses, which outnumber neurons by a factor of 10,000. Although progress in cortical simulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce24dc56f1b637d9bd3f0d8c0c616f0f
https://doi.org/10.1145/2463585.2463588
https://doi.org/10.1145/2463585.2463588
Autor:
Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. Debole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo Di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin Shaw, Hayley Wu, Brian Giera, Adam T. Moody, Nathan Mundhenk, Brian C. Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb353a85553254286eef8f2d979b3c7
https://doi.org/10.1109/sc.2016.11
https://doi.org/10.1109/sc.2016.11
Autor:
Bryan L. Jackson, Andrew S. Cassidy, Wei-Yu Tsai, Michael DeBole, Dharmendra S. Modha, Alexander Andreopoulos, Myron D. Flickner, Jack Sampson, Vijaykrishnan Narayanan, R Davis
Publikováno v:
IJCNN
With recent advances in silicon technology, previously intractable Deep Neural Network (DNN) solutions to complex visual, auditory, and other sensory perception problems are now practical for real-time, energy constrained systems. One such advancemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0750b0ddd0f7c496450dae05905056
https://doi.org/10.1109/ijcnn.2016.7727757
https://doi.org/10.1109/ijcnn.2016.7727757
Autor:
Garrick Orchard, John V. Arthur, Dharmendra S. Modha, Bryan L. Jackson, Daniel R. Mendat, Andreas G. Andreou, Andrew Dykman, Kate D. Fischl, Rodrigo Alvarez-Icaza, Guillaume Garreau, Paul A. Merolla, Andrew S. Cassidy
Publikováno v:
ISCAS
The IBM TrueNorth (TN) Neurosynaptic System, is a chip multi processor [1] with a tightly coupled processor/memory architecture, that results in energy efficient neurocomputing and it is a significant milestone to over 30 years of neuromorphic engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de4211b3f04e641d8be9945cf697c9e2
https://doi.org/10.1109/iscas.2016.7539214
https://doi.org/10.1109/iscas.2016.7539214
Publikováno v:
Langmuir. 24:6189-6193
Alkanethiol modified gold electrodes patterned over a silica surface provided a dual hydrophobic/hydrophilic surface suitable for phospholipid monolayer and bilayer formation over the alkylated gold and glass surfaces, respectively. The phospholipid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1839f4d008c2ce4a63ae60a7e85110bc
https://doi.org/10.1021/la800040w
https://doi.org/10.1021/la800040w