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Stochastic Thermodynamics of Biological and Artificial Information Processing II

FOCUS · Y09 · ID: 46549

Presentations

  • Entropy generation during computation - is it really avoidable, even in principle?

    ORAL · Invited

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    Publication: What would it take to build a thermodynamically reversible Universal Turing machine? Computational and thermodynamic constraints in a molecular design arXiv preprint arXiv:2102.03388<br><br>Online learning in Plato's cave: Thermodynamic costs of inference from sample data illustrated with an explicit model (manuscript in preparation)<br><br>

    Presenters

    • Thomas E Ouldridge

      Imperial College London

    Authors

    • Thomas E Ouldridge

      Imperial College London

    • Rory A Brittain

      Malvern Panalytical

    • Nick S Jones

      Imperial College London

    • Thomas M McGrath

      Google Deep Mind

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  • Thermodynamic uncertainty relations and first-passage times for information flows in co-evolving systems

    ORAL

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    Publication: Tasnim, Farita, Tarek Tohme, and David H. Wolpert. "Thermodynamic uncertainty relations and first-passage times for information flows in co-evolving systems." In preparation (2021).

    Presenters

    • Farita Tasnim

      Massachusetts Institute of Technology MI

    Authors

    • Farita Tasnim

      Massachusetts Institute of Technology MI

    • Tarek Tohme

      Universite Paris-Saclay

    • David H Wolpert

      Santa Fe Inst

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  • A Bayesian mechanics for adaptive systems

    ORAL

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    Publication: L Da Costa, K Friston, C Heins, GA Pavliotis. Bayesian mechanics for stationary processes. arXiv:2106.13830. 2021.<br>K Friston, L Da Costa, N Sajid, C Heins, K Ueltzhöffer, GA Pavliotis, T Parr. The free energy principle made simpler but not too simple. In preparation.<br>T Parr, L Da Costa, K Friston. Markov blankets, information geometry and stochastic thermodynamics. Philosophical Transactions of the Royal Society A. 2020.<br>T Parr, J Limanowski, V Rawji, K Friston. The computational neurology of movement under active inference. Brain. 2021.<br>K Friston. Life as we know it. Neural Computation. Journal of the Royal Society Interface. 2013.

    Presenters

    • Lancelot Da Costa

      Imperial College London

    Authors

    • Lancelot Da Costa

      Imperial College London

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  • Erasing a bit with zero work cost by bypassing Liouville's theorem

    ORAL

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    Publication: Holtzman, R., Arwas, G., & Raz, O. (2021). Hamiltonian memory: An erasable classical bit. Physical Review Research, 3(1), 013232.<br>Landauer, R. (1961). Irreversibility and heat generation in the computing process. IBM journal of research and development, 5(3), 183-191.

    Presenters

    • Roi Holtzman

      Weizmann Institute of Science

    Authors

    • Roi Holtzman

      Weizmann Institute of Science

    • Oren Raz

      Weizmann Institute of Science

    • Geva Arwas

      Université de Paris, laboratoire Matériaux et Phénomènes Quantiques

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  • Cellular costs in the synthesis of glycan information

    ORAL

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    Publication: Yadav, Alkesh, et al. "Glycan processing in the Golgi--optimal information coding and constraints on cisternal number and enzyme specificity." arXiv preprint arXiv:2005.08740 (2020).

    Presenters

    • Alkesh Yadav

      Raman Research Institute, Bangalore 560080, India

    Authors

    • Alkesh Yadav

      Raman Research Institute, Bangalore 560080, India

    • Garud Iyengar

      Industrial Engineering and Operations Research, Columbia University, New York 10027, USA

    • Madan Rao

      Simons Centre for the Study of Living Machines, National Centre for Biological Sciences (TIFR), Bangalore 560065, India, National Center For Biological Sciences, Bengaluru, Simons Center for the Study of Living Machines, National Center for Biological Sciences - TIFR

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  • Stochastic thermodynamics of anomalous diffusion generated by scaled and fractional Brownian motions

    ORAL

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    Presenters

    • Seyed Mohsen Jebreiil Khadem

      Berlin institute of Technology

    Authors

    • Seyed Mohsen Jebreiil Khadem

      Berlin institute of Technology

    • Sabine H. L. Klapp

      TU Berlin, Institute of Theoretical Physics, Technical University Berlin, Hardenbergstr. 36, 10623 Berlin, Germany.

    • Rainer Klages

      Queen Mary University of London, School of Mathematical Sciences,Mile End Road, London E1 4NS, United Kingdom

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