vol. 87 | iTHES

Vol. 87, July 6th, 2015

TABLE OF CONTENTS

  • Upcoming Events
  • Person of the week

Person of the week

Susumu Inoue

photo

Self-introduction

From the Office

The office of iTHES assistant, Ms.Chikako Oota is situated at the second floor of the main research building, room # 246. The extension number is 3261. She will be at the office from 10 a.m. to 16 p.m.

Upcoming Events


iTHES Colloquium
July 6 (Mon) 15:30-
"Thermodynamics of Information Processing"
Prof. Takahiro Sagawa
(Dept. of Applied Phys., Univ. of Tokyo)
http://noneq.c.u-tokyo.ac.jp/index_e.html
place: Nishina Hall
(Building 13, E-4 area in the following map)
http://www.riken.jp/~/media/riken/access/wako-map/map2_p_150105.pdf
abstract:
In this decade, thermodynamics of information has attracted renewed attentions in light of modern nonequilibrium statistical mechanics, leading to a new field of "information thermodynamics." This topic is related to the foundation of the second law of thermodynamics, which dates back to the thought experiment of "Maxwell's demon" in the nineteenth century. In this talk, I will review the recent progress in information thermodynamics, in both terms of theory and experiment. Theoretically, I will focus on the generalization of the second law of thermodynamics to information processing, where information contents and thermodynamic variables are treated on an equal footing. I will also talk about our experimental realization of Maxwell's demon with a single electron. Moreover, I will talk about our recent result on an application of information thermodynamics to biological signal transduction of E. Coli chemotaxis.


iTHES seminar

"Advanced Mean Field Theory of Restricted Boltzmann Machine"
Haiping Huang and Taro Toyoizumi (RIKEN Brain Science Institute (BSI))
Date and time: August 3, 3pm-
Place: Main research building, 4th floor, room 433
Abstract:
Learning in restricted Boltzmann machine is typically hard due to the computation of gradients of log-likelihood function. To describe the network state statistics of the restricted Boltzmann machine, we develop an advanced mean field theory based on the Bethe approximation. Our theory provides an efficient message passing based method that evaluates not only the partition function (free energy) but also its gradients without requiring statistical sampling. The results are compared with those obtained by the computationally expensive sampling based method.
Reference: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.91.050101

Person of the week


I am excited to be a new member of RIKEN and iTHES, having just joined from June 2015. Previously I was a postdoctoral fellow in Germany. My primary field of research has been theoretical astrophysics, especially high-energy astrophysics, astroparticle physics and cosmology. Topics of particular interest in recent years include high-energy processes associated with the formation of cosmic large-scale structure, and the use of luminous cosmic explosions to probe the distant Universe. I also participate proactively in astronomical observations spanning the radio, optical, X-ray and gamma-ray bands, occasionally leading them. In the past I have worked on some problems in nuclear astrophysics and nucleosynthesis, and would be keen to resume work in this field through interaction with the many experts at RIKEN. I am also hoping to be able to broaden my horizons further in the truly interdisciplinary environment of iTHES.