Descrizione del progetto
Tecnologia con comportamento cognitivo solido e reattivo ispirata ai grilli
La separazione dei compiti a volte è efficiente, altre volte no. L’efficienza energetica è diventata una sfida fondamentale nelle attività informatiche complesse. La separazione tra logica e memoria negli attuali sistemi elettronici porta all’inefficienza. Di recente, le neuroscienze hanno ispirato potenti algoritmi di IA per consentire un efficace processo decisionale in tempo reale basato su un volume limitato di dati sensoriali rumorosi, cosa che i grilli sanno fare molto bene. Il progetto DIVERSE, finanziato dal CER, integrerà i principi del sistema nervoso del grillo e le memorie resistive ad accesso casuale (memristori) in un’innovativa piattaforma hardware/software. Con un’efficienza energetica estremamente elevata e solide capacità di calcolo cognitivo, la nuova tecnologia troverà applicazione nella robotica, nei dispositivi medici impiantabili e nell’elettronica indossabile.
Obiettivo
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.
Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineering
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- natural sciencesbiological scienceszoologyentomology
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Parole chiave
Programma(i)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Argomento(i)
Meccanismo di finanziamento
HORIZON-ERC - HORIZON ERC GrantsIstituzione ospitante
75015 PARIS 15
Francia