Descripción del proyecto
Tecnología con un comportamiento cognitivo coherente y reactivo inspirada en los grillos
La separación de tareas unas veces es eficaz y otras no. La eficacia energética constituye en un reto fundamental en las tareas informáticas complejas. La separación de lógica y memoria en los sistemas electrónicos actuales conduce a la ineficacia. La neurociencia ha inspirado hace poco potentes algoritmos de inteligencia artificial que permiten una toma de decisiones eficaz y en tiempo real basada en un volumen reducido de datos sensoriales con ruido, algo de lo que los grillos saben mucho. El proyecto DIVERSE, financiado por el Consejo Europeo de Investigación, integrará principios del sistema nervioso del grillo y memorias resistivas de acceso aleatorio (memristores) en una innovadora plataforma de «hardware» y «software». La nueva tecnología, que presenta una eficiencia energética extremadamente alta y unas sólidas capacidades de computación cognitiva, tendrá aplicaciones en robótica, productos sanitarios implantables y electrónica ponible.
Objetivo
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.
Ámbito científico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineering
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- natural sciencesbiological scienceszoologyentomology
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Palabras clave
Programa(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régimen de financiación
HORIZON-ERC - HORIZON ERC GrantsInstitución de acogida
75015 PARIS 15
Francia