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Nanotechnology Now - Press Release: CEA-Leti Barn-Owl Inspired, Object-Localization System Uses Up to 5 Orders of Magnitude Less Energy than Existing Technology: Paper in Nature Communications Describes Neuromorphic Computing Device With Virtually No Power Consumption When Idle, Thanks to On-Chip Non-Volatile M

Nanotechnology Now - Press Release: CEA-Leti Barn-Owl Inspired, Object-Localization System Uses Up to 5 Orders of Magnitude Less Energy than Existing Technology: Paper in Nature Communications Describes Neuromorphic Computing Device With Virtually No Power Consumption When Idle, Thanks to On-Chip Non-Volatile M
nanotech-now.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from nanotech-now.com Daily Mail and Mail on Sunday newspapers.

Sarah lyle dampouxElisa vianelloFilippo moroUniversity of udineNature communicationsMagnitude less energyEuropean research councilWave incUniversity of zurichHome press barnLeti barn owl inspiredExisting technologyVirtually no power consumption when idleOn chip non volatileOn chip non volatilem grenobleObject localization using resistive memories

Week In Review: Design, Low Power

Week In Review: Design, Low Power
semiengineering.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from semiengineering.com Daily Mail and Mail on Sunday newspapers.

United statesSouth koreaFilippo moroGuenter krasserCalista redmondBrite semiconductorintroducedInfineon technologiesacquirednobugElisa vianelloJamilr mazzawiChris ballanceJeffrey russellSimon davidmannDavid kelfDelta electronicsusedinfineon coolsiAndreyy lokhovInfineon coolga

New Electronics - Object-localisation system uses far less energy than existing technology

CEA-Leti has developed an event-driven, object-localisation system that couples state-of-the-art piezoelectric, ultrasound transducer sensors to a neuromorphic, resistive memories-based computational map.

Elisa vianelloFilippo moroUniversity of udineNature communicationsEuropean research councilUniversity of zurich

CEA-Leti Barn-Owl Inspired, Object-Localization System Uses Up to 5 Orders of Magnitude Less Energy than Existing Technology – EEJournal

GRENOBLE, France – July 7, 2022 – Inspired by the barn owl’s neuroanatomy, CEA-Leti has developed an event-driven, object-localization system that couples state-of-the-art piezoelectric, ultrasound transducer sensors to a neuromorphic, resistive memories-based computational map. Presented in a paper published recently in Nature Communications, the research team describes development of an auditory-processing system that increases energy efficiency…

Elisa vianelloFilippo moroUniversity of udineNature communicationsEuropean research councilUniversity of zurichObject localization using resistive memoriesSilicon valleyCarnot institutes

CEA-Leti: Neuromorphic Device Uses Up to 5 Orders of Magnitude Less Energy

GRENOBLE, France – July 7, 2022 – Technical research institute CEA-Leti announced it has developed an event-driven, object-localization system that couples [.]

Elisa vianelloFilippo moroUniversity of udineNature communicationsEuropean research councilUniversity of zurichObject localization using resistive memories