Zobrazeno 1 - 10
of 341
pro vyhledávání: '"Cassidy Andrew"'
Autor:
Ali Clinton W, Ashfield Alison, Cassidy Andrew, McGregor Gillian, O'Neill Mary, Paulin Fiona EM, Munro Alastair J, Baker Lee, Purdie Colin A, Lane David P, Thompson Alastair M
Publikováno v:
BMC Cancer, Vol 8, Iss 1, p 281 (2008)
Abstract Introduction A functional polymorphism within MDM2, SNP309 T>G, has been linked to early onset cancer. This study examined clinical associations of breast cancer with SNP309 in a Scottish Caucasian population and investigated additional MDM2
Externí odkaz:
https://doaj.org/article/8d8a8d44aee54df7afb9320445166869
This paper describes a fully spike-based neural network for optical flow estimation from Dynamic Vision Sensor data. A low power embedded implementation of the method which combines the Asynchronous Time-based Image Sensor with IBM's TrueNorth Neuros
Externí odkaz:
http://arxiv.org/abs/1710.09820
Publikováno v:
Journal of Chemical Physics; 4/14/2023, Vol. 158 Issue 14, p1-7, 7p
Autor:
Dicker, Alison J, Lonergan, Mike, Keir, Holly R, Smith, Alexandria H, Pollock, Jennifer, Finch, Simon, Cassidy, Andrew J, Huang, Jeffrey T J, Chalmers, James D *
Publikováno v:
In The Lancet Respiratory Medicine August 2021 9(8):885-896
Autor:
Esser, Steven K., Merolla, Paul A., Arthur, John V., Cassidy, Andrew S., Appuswamy, Rathinakumar, Andreopoulos, Alexander, Berg, David J., McKinstry, Jeffrey L., Melano, Timothy, Barch, Davis R., di Nolfo, Carmelo, Datta, Pallab, Amir, Arnon, Taba, Brian, Flickner, Myron D., Modha, Dharmendra S.
Publikováno v:
PNAS 113 (2016) 11441-11446
Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented energy-efficiency through a new chip architecture based on spiking neuron
Externí odkaz:
http://arxiv.org/abs/1603.08270
In recent years the field of neuromorphic low-power systems that consume orders of magnitude less power gained significant momentum. However, their wider use is still hindered by the lack of algorithms that can harness the strengths of such architect
Externí odkaz:
http://arxiv.org/abs/1601.04187
Autor:
Diehl, Peter U., Pedroni, Bruno U., Cassidy, Andrew, Merolla, Paul, Neftci, Emre, Zarrella, Guido
We present an approach to constructing a neuromorphic device that responds to language input by producing neuron spikes in proportion to the strength of the appropriate positive or negative emotional response. Specifically, we perform a fine-grained
Externí odkaz:
http://arxiv.org/abs/1601.04183
Autor:
Das, Srinjoy, Pedroni, Bruno Umbria, Merolla, Paul, Arthur, John, Cassidy, Andrew S., Jackson, Bryan L., Modha, Dharmendra, Cauwenberghs, Gert, Kreutz-Delgado, Ken
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in a wide variety of applications including image classification and speech recognition. Inference and learning in these algorithms uses a Markov Chain Monte Carlo pro
Externí odkaz:
http://arxiv.org/abs/1503.07793
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