Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Stephen L. Thaler"'
Autor:
Stephen L. Thaler
Publikováno v:
Journal of Artificial Intelligence and Consciousness. :81-111
A novel form of neurocomputing allows machines to generate new concepts along with their anticipated consequences, all encoded as chained associative memories. Knowledge is accumulated by the system through direct experience as network chaining topol
Autor:
Wen Yee Lee, Qin Gao, Stephen L. Thaler, Karen S. Sfanos, Scott Mclean, Simmie L. Foster, Alan W. Partin, Thomas Johnson, Rebecca Bader, Leslie A. Mangold, Patritsia Maria Stathatou, Eva Shrestha, Bruce J. Trock, Jonathan W. Simons, Howard R. Soule, Robert N. Harris, Adam Kozak, Sophie Aziz, Claire Guest, Andreas Mershin
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0245530 (2021)
PLoS ONE
PLoS ONE
Prostate cancer is the second leading cause of cancer death in men in the developed world. A more sensitive and specific detection strategy for lethal prostate cancer beyond serum prostate specific antigen (PSA) population screening is urgently neede
Publikováno v:
Expert Systems with Applications. 45:23-39
Two machine learning techniques are applied to characterize hypervelocity impacts.Both techniques offered improved accuracy over conventional semi-analytical methods.Further improvements are restricted by the statistical quality of the training data.
Autor:
Stephen L. Thaler
Publikováno v:
International Journal of Machine Consciousness. :75-107
By allowing one artificial neural network to govern the synaptic noise injected into another based upon its appraisal of patterns nucleating from such disturbances, a contemplative form of artificial intelligence is formed whose creativity and patter
Autor:
Stephen L. Thaler
Publikováno v:
e-mentor. 2014:81-86
Autor:
Stephen L. Thaler, Shannon Ryan
Publikováno v:
International Journal of Impact Engineering. 56:61-70
An artificial neural network model has been developed for predicting the perforation limits of spaced aluminium armour (aka Whipple shield) under impact of aluminium projectiles at hypervelocity. The network, utilizing a multilayer perceptron archite
Autor:
Stephen L. Thaler
Publikováno v:
Medical hypotheses. 94
Random connection weight disturbances within an assembly of artificial neural networks (ANN) drive a progression of activation patterns that are tantamount to the memories and ideas nucleating within the brain's cortex. The numerical evaluation of th
Autor:
Stephen L. Thaler
Publikováno v:
Journal of Alloys and Compounds. 279:47-59
When an auto-associative neural network is trained within any conceptual space, the many rules and schema embodied within that knowledge domain are encoded through its many connection weights and biases. For instance, if such a network's input/output
Autor:
Stephen L. Thaler
Publikováno v:
Journal of Near-Death Studies. 17:21-29
In response to Susan Gunn's editorial, I offer a less comforting but more utilitarian perspective on the life and death of artificial consciousness. Admittedly an unpopular view, it suggests that concurrence with Gunn's message represents the seeds o
Autor:
Stephen L. Thaler
Publikováno v:
Neural Networks. 8:55-65
A simple pattern association network, trained to convert any of eight three-bit input patterns to corresponding 3 × 3 pixel patterns, is destroyed by the random pruning of its connection weights. Within such “deaths” we see the frequent appearan