Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daphne Demekas"'
Autor:
Vishwesh Venkatraman, Jeremiah Gaiser, Daphne Demekas, Amitava Roy, Rui Xiong, Travis J. Wheeler
Publikováno v:
Pharmaceuticals, Vol 17, Iss 8, p 992 (2024)
Computational approaches for small-molecule drug discovery now regularly scale to the consideration of libraries containing billions of candidate small molecules. One promising approach to increased the speed of evaluating billion-molecule libraries
Externí odkaz:
https://doaj.org/article/b6a3633e55f44d30871e1971a5bc2381
Publikováno v:
Entropy, Vol 24, Iss 4, p 476 (2022)
The spread of ideas is a fundamental concern of today’s news ecology. Understanding the dynamics of the spread of information and its co-option by interested parties is of critical importance. Research on this topic has shown that individuals tend
Externí odkaz:
https://doaj.org/article/285604604675407ca022dfc64106df8b
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
This paper offers a prospectus of what might be achievable in the development of emotional recognition devices. It provides a conceptual overview of the free energy principle; including Markov blankets, active inference, and—in particular—a discu
Externí odkaz:
https://doaj.org/article/a47d697282ec4d0b8dc3e1c60e42ddab
Publikováno v:
Active Inference ISBN: 9783031287183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f3500c43c092e5ab16ff3ae3e44262
https://doi.org/10.1007/978-3-031-28719-0_6
https://doi.org/10.1007/978-3-031-28719-0_6
Publikováno v:
Entropy; Volume 24; Issue 4; Pages: 476
The spread of ideas is a fundamental concern of today’s news ecology. Understanding the dynamics of the spread of information and its co-option by interested parties is of critical importance. Research on this topic has shown that individuals tend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bc03e561f94f79a35808f8515565b6f
https://doi.org/10.20944/preprints202201.0124.v1
https://doi.org/10.20944/preprints202201.0124.v1
Autor:
Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl Friston, Iain D. Couzin, Alexander Tschantz
Active inference is an account of cognition and behavior in complex systems which brings together action, perception, and learning under the theoretical mantle of Bayesian inference. Active inference has seen growing applications in academic research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49e6a9ba0c69e012e4e85cf305b184aa
Publikováno v:
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, Vol 14 (2020)
Frontiers in Computational Neuroscience, Vol 14 (2020)
This paper offers a prospectus of what might be achievable in the development of emotional recognition devices. It provides a conceptual overview of the free energy principle; including Markov blankets, active inference, and-in particular-a discussio