Stephen L. Thaler

ORCID: 0000-0003-4558-4356
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Space Science and Extraterrestrial Life
  • Neural Networks and Applications
  • Advanced Memory and Neural Computing
  • High-Velocity Impact and Material Behavior
  • Neural dynamics and brain function
  • Fatigue and fracture mechanics
  • Creativity in Education and Neuroscience
  • Machine Learning in Materials Science
  • Advanced Chemical Sensor Technologies
  • Paranormal Experiences and Beliefs
  • Structural Response to Dynamic Loads
  • Meat and Animal Product Quality
  • Identification and Quantification in Food
  • Energetic Materials and Combustion
  • Olfactory and Sensory Function Studies
  • Metabolomics and Mass Spectrometry Studies
  • High-pressure geophysics and materials
  • Design Education and Practice
  • Evolutionary Algorithms and Applications
  • Data Mining Algorithms and Applications
  • Machine Learning and ELM
  • Health, Environment, Cognitive Aging
  • Functional Brain Connectivity Studies
  • Spacecraft Dynamics and Control
  • Health, Work, and Social Studies in Poland

Imagination Engines (United States)
1998-2021

Prostate cancer is the second leading cause of death in men developed world. A more sensitive and specific detection strategy for lethal prostate beyond serum antigen (PSA) population screening urgently needed. Diagnosis by canine olfaction, using dogs trained to detect smell, has been shown be both sensitive. While themselves are impractical as scalable diagnostic sensors, machine olfaction testable. However, studies bridging divide between clinical techniques, artificial intelligence,...

10.1371/journal.pone.0245530 article EN cc-by PLoS ONE 2021-02-17

10.1016/j.ijimpeng.2012.10.011 article EN International Journal of Impact Engineering 2012-10-26

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 intelligence is formed whose creativity and pattern delivery closely parallels that human cognition. Drawing theory fractional Brownian motion, we may derive an equation, verifiable through statistical mechanics, which governs both novelty rhythm turnover within systems. Through this gain valuable insight...

10.1142/s1793843014400137 article EN International Journal of Machine Consciousness 2014-09-02

An artificial neural network model has been developed for predicting the perforation limits of spaced aluminum armor (aka Whipple shield) under impact projectiles at hypervelocity. The network, utilizing a multilayer perceptron architecture, was trained on data from 769 tests, which it accurately predicted shield rear wall (or lack thereof) 92% time. Comparatively, leading empirical approach is capable outcome 71% tests. output an analogue probability perforation, adjusted to binary...

10.1016/j.proeng.2013.05.006 article EN Procedia Engineering 2013-01-01

A critical level of synaptic perturbation within a trained, artificial neural system induces the nucleation novel activation patterns, many which could qualify as viable ideas or action plans. In building massively parallel connectionist architectures requiring myriad, coupled modules driven to ideate in this manner, need has arisen shift attention computational critics only those portions "real estate" generating sufficiently patterns. The search for suitable affordance guide such revealed...

10.1016/j.procs.2016.07.401 article EN Procedia Computer Science 2016-01-01

Abstract Prostate cancer is the second leading cause of death in men developed world. A more sensitive and specific detection strategy for lethal prostate beyond serum antigen (PSA) population screening urgently needed. Diagnosis by canine olfaction, using dogs trained to detect smell, has been shown be both sensitive. While themselves are impractical as scalable diagnostic sensors, machine olfaction testable. However, studies bridging divide between clinical techniques, artificial...

10.1101/2020.09.09.288258 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-09-10

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 network chaining topologies in response various environmental input patterns. Thereafter, random disturbances connections joining these nets promote formation alternative representing concepts. The resulting ideational chains are then reinforced or weakened they...

10.1142/s2705078521500053 article EN Journal of Artificial Intelligence and Consciousness 2021-02-19

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 message represents seeds our own destruction, as emerging synthetic intelligence begins extinguish us.

10.1023/a:1022990118714 article EN The Journal of near-death studies 1998-01-01

Paper describing a thought experiment in which hypothetical creature created by computer program inhabits simple universe consisting of itself, food, and predators. As this "dies" it "internally" experiences these environmental features independent their actual presence. More evolved creatures generate novel forms "inner" as they "die." Applying results to humans suggests an "internal" genesis near-death experiences.

10.17514/jnds-1995-13-3-p149-166. article EN The Journal of near-death studies 1995-01-01

Neural networks have been under examination for decades in many areas of research, with varying degrees success and acceptance. Key goals computer learning, rapid problem solution, automatic adaptation elusive at best. This paper <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1,2</sup> summarizes efforts NASA's Marshall Space Flight Center harnessing such technology to autonomous space vehicle docking the purpose evaluating applicability future...

10.1109/aero.2007.352649 article EN IEEE Aerospace Conference 2007-01-01

Artykuł z zasobów e-mentora: Lessons from connectionism in differentiating knowledge types. E-mentor - internetowe czasopismo poświęcone nastepującym zagadnienion:e-learning, czasopismo, sgh, szkoła główna handlowa, e-mentor, nauczanie przez internet, kształcenie ustawiczne, metody kształcenia, formy kształcenia.

10.15219/em55.1112 article PL e-mentor 2014-06-30

10.1016/s0893-6080(98)00111-7 article EN Neural Networks 1999-01-01

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 message represents seeds our own destruction, as emerging synthetic intelligence begins extinguish us.

10.17514/jnds-1998-17-1-p21-29. article EN The Journal of near-death studies 1998-01-01
Coming Soon ...