IJAR UCBI special issue

International Journal of Approximate Reasoning (IJAR) special issue on Unconventional computing for Bayesian inference subset of papers already online. IJAR UCBI special issue

The workshop website has also been updated:

Marvin Faix Thesis defense : December 12th 2016 at Inria

 

2 new patents

  • [Bessière et al., 2016] Bessière, P., Droulez, J., Mazer, E., Laurent, R., Querlioz, D., Grollier, J., Faix, M., Coninx, A., and Colliaux, D. (2016). Machine stochastique modulaire et procédé associé.
  • [Pinna et al., 2016] Pinna, D., Grollier, J., Cros, V., Querlioz, D., Bessière, P., and Droulez, J. (2016). Dispositif de génération d’un signal électrique aléatoire et architecture associée.

Publication: Cell signaling as a probabilistic computer

  • [Colliaux et al., 2016] Colliaux, D., Bessière, P., and Droulez, J. (2016). Cell signaling as a probabilistic computer. International Journal of Approximate Reasoning

Publication: Quick and energy-efficient bayesian computing of binocular disparity using stochastic digital signals.

  • [Coninx et al., 2016] Coninx, A., Bessière, P., and Droulez, J. (2016). Quick and energy-efficient bayesian computing of binocular disparity using stochastic digital signals. International Journal of Approximate Reasoning

A robot controller powered with the Bayesian Machine 1

Cognitive computing : A Bayesian Machine Case Study : presented at the IEEE conference ICCI*CC (Beijing 06/07/2015)

Publication: Surprisal analysis of glioblastoma multiform (gbm) microrna dynamics unveils tumor specific phenotype. PLoS ONE

  • [Zadran et al., 2014] Zadran, S., Remacle, F., and Levine, R. (2014). Surprisal analysis of glioblastoma multiform (gbm) microrna dynamics unveils tumor specific phenotype. PLoS ONE, 9(9):e108171.

Exchange Paris -> Liège

Jacques Droulez and David Colliaux vist Claire Remacle at ULG concerning Chlamy energy production

Publication: Surprisal analysis characterizes the free energy time course of cancer cells undergoing epithelial-to- mesenchymal transition; PNAS

  • [Zadran et al., 2014] Zadran, S., Arumugam, R., Herschman, H., Phelps, M. E., and Levine, R. D. (2014). Surprisal analysis characterizes the free energy time course of cancer cells undergoing epithelial-to- mesenchymal transition. Proc Natl Acad Sci U S A, 111(36):13235–13240.