Description du projet
Une technologie au comportement cognitif puissant et réactif inspirée des grillons
La séparation des tâches peut parfois s’avérer efficace, mais pas toujours. L’efficacité énergétique est devenue un défi majeur dans le cadre de tâches informatiques complexes. La séparation de la logique et de la mémoire dans les systèmes électroniques actuels est un facteur d’inefficacité. Les neurosciences ont récemment inspiré de puissants algorithmes d’intelligence artificielle pour permettre une prise de décision efficace en temps réel sur la base d’un volume limité de données sensorielles bruyantes, ce en quoi les grillons excellent. Le projet DIVERSE, financé par le CER, intégrera les principes du système nerveux du grillon et des mémoires résistives à accès aléatoire (memristors) dans une plateforme matérielle/logicielle innovante. Dotée d’un rendement énergétique extrêmement élevé et de capacités de calcul cognitif robustes, la nouvelle technologie trouvera des applications dans la robotique, les dispositifs médicaux implantables et l’électronique portable.
Objectif
The artificial intelligence community, inspired by the tremendous progress made in neuroscience, has recently proposed powerful algorithms to enable effective real-time decision making based on a limited volume of noisy sensory data. However, implementing such algorithms in low-power devices remains a challenge due to the energy inefficiency that comes from separating logic and memory in current electronic systems. For the past 10 years, research groups have been developing alternative electronic components and systems, such as brain inspired computing architectures and novel resistive memory technologies to address this design bottleneck. The critical feature for these new technologies to perform at their best is a very high-density, reliable, non-volatile memory with infinite endurance. This ideal memory does not exist today, and it is unlikely it will ever exist. This project takes inspiration from the insect’s nervous system. The general aim of DIVERSE is to enable learning from a very limited volume of noisy data based on imperfect, limited density, low endurance, resistive memories. Unlike digital systems, insects are not very good at performing precise calculations, but they excel at making extremely energy-efficient real time decisions by combining sensory data recorded in noisy environments. I thus propose to take inspiration from the well-studied cricket’s nervous system and to use my experience and skills in resistive memories to develop a new technology that expresses robust cognitive behaviour while interacting with the environment. This cross-disciplinary work will lead to the fabrication of an innovative hardware/software platform with extremely high power efficiency and robust cognitive computing capabilities. This new technology will open new perspectives in dynamically developing areas including service and consumer robotics, implantable medical diagnostic microchips and wearable electronics.
Champ scientifique
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineering
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- natural sciencesbiological scienceszoologyentomology
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Mots‑clés
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régime de financement
HORIZON-ERC - HORIZON ERC GrantsInstitution d’accueil
75015 PARIS 15
France