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Bottom-up Approaches to Machines dedicated to Bayesian Inference

Bottom-up Approaches to Machines dedicated to Bayesian Inference

Objective

We propose a theory and a hardware implementation of probabilistic computation inspired by biochemical cell signaling. We will study probabilistic computation following three axes: algebra, biology, and hardware. In each case, we will develop a bottom-up hierarchical approach starting from the elementary components, and study how to combine them to build more complex systems. We propose Bayesian gates operating on probability distributions on binary variables as the building blocks of our probabilistic algebra. These Bayesian gates can be seen as a generalization of logical operators in Boolean algebra. We propose to interpret elementary cell signaling pathways as biological implementation of these probabilistic gates. In turn, the key features of biochemical processes give new insights for innovative probabilistic hardware implementation. We propose to associate conventional electronics and novel stochastic nano-devices to build the required hardware elements. Combining them will lead to new artificial information processing systems, which could, in the future, outperform classical computers in tasks involving a direct interaction with the physical world. For these purposes, the BAMBI project associates research in Bayesian probability theory, molecular biology, nanophysics, computer science and electronics.

Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

Address

Rue Michel Ange 3
75794 Paris

France

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 085 316

Administrative Contact

Julie Zittel (Mrs.)

Participants (5)

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UNIVERSITE DE LIEGE

Belgium

EU Contribution

€ 650 000

PROBAYES SAS

France

EU Contribution

€ 211 160

THE HEBREW UNIVERSITY OF JERUSALEM

Israel

EU Contribution

€ 224 000

INSTITUTO DE SISTEMAS E ROBOTICA-ASSOCIACAO

Portugal

EU Contribution

€ 349 700

UNIVERSITE PARIS-SUD

France

Project information

Grant agreement ID: 618024

Status

Closed project

  • Start date

    1 January 2014

  • End date

    31 December 2016

Funded under:

FP7-ICT

  • Overall budget:

    € 3 334 510

  • EU contribution

    € 2 520 176

Coordinated by:

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France