BAMBI
Bottom-up Approaches to Machines dedicated to Bayesian Inference
| Coordinatore | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
Organization address
address: Rue Paul Bert 27 contact info |
| Nazionalità Coordinatore | France [FR] |
| Totale costo | 3˙334˙510 € |
| EC contributo | 2˙520˙176 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2013-C |
| Funding Scheme | CP |
| Anno di inizio | 2014 |
| Periodo (anno-mese-giorno) | 2014-01-01 - 2016-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
Organization address
address: Rue Paul Bert 27 contact info |
FR (Ivry-surs-Seine) | coordinator | 0.00 |
| 2 |
INSTITUTO DE SISTEMAS E ROBOTICA-ASSOCIACAO
Organization address
address: POLO II VILA FRANCA contact info |
PT (Coimbra) | participant | 0.00 |
| 3 |
PROBAYES SAS
Organization address
address: ALLEE GALILEE contact info |
FR (MONTBONNOT SAINT-MARTIN) | participant | 0.00 |
| 4 |
THE HEBREW UNIVERSITY OF JERUSALEM
Organization address
address: GIVAT RAM CAMPUS contact info |
IL (JERUSALEM) | participant | 0.00 |
| 5 |
UNIVERSITE DE LIEGE
Organization address
city: LIEGE contact info |
BE (LIEGE) | participant | 0.00 |
| 6 |
UNIVERSITE PARIS-SUD
Organization address
address: RUE GEORGES CLEMENCEAU contact info |
FR (ORSAY) | participant | 0.00 |
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Obiettivo del progetto (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.