Is there a place or hashtag where mastodon / fediverse admins, hosters, hackers, and/or devs hang out?
| Bio | AI industry professional with interests in RL and neuroscience |
| Bio | AI industry professional with interests in RL and neuroscience |
Is there a place or hashtag where mastodon / fediverse admins, hosters, hackers, and/or devs hang out?
Interested in the Fediverse sessions and demos of FediForum, but living on a tight budget?
We have tickets as low as $1.99. Don't be shy.
#unconference #conference #event #fediverse #activitypub #socialmedia
In their #JEB100 Review, Ijspeert & Daley discuss how comparative animal studies and neuromechanical modeling have revealed diversity in the integration of feedback and feedforward control, related to body size, mechanical stability, time to locomotor maturity and movement speed
#biomechanics #biology #zoology #locomotion
https://journals.biologists.com/jeb/article/226/15/jeb245784/325856
Summary: Comparative animal studies and neuromechanical modeling have revealed diversity in the integration of feedback and feedforward control, related to body size, mechanical stability, time to locomotor maturity and movement speed.
Here's a really interesting (long) paper on what a theory of computing based on arbitrary physical substrates might look like: http://arxiv.org/abs/2307.15408
"Toward a formal theory for computing machines made out of whatever physics offers: extended version"
Herbert Jaeger, Beatriz Noheda, Wilfred G. van der Wiel (2023)
#NewPaper #TheoreticalComputerScience #neuromorphic #CogSci #CognitiveScience #VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #AnalogComputing
Approaching limitations of digital computing technologies have spurred research in neuromorphic and other unconventional approaches to computing. Here we argue that if we want to systematically engineer computing systems that are based on unconventional physical effects, we need guidance from a formal theory that is different from the symbolic-algorithmic theory of today's computer science textbooks. We propose a general strategy for developing such a theory, and within that general view, a specific approach that we call "fluent computing". In contrast to Turing, who modeled computing processes from a top-down perspective as symbolic reasoning, we adopt the scientific paradigm of physics and model physical computing systems bottom-up by formalizing what can ultimately be measured in any physical substrate. This leads to an understanding of computing as the structuring of processes, while classical models of computing systems describe the processing of structures.
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