SAN FRANCISCO – Dec. 7, 2022 – A CEA-Leti tutorial presented at IEDM 2022 highlighted promising advantages that resistive random-access memory (RRAM) technologies hold for implementing novel neuromorphic/in-memory computing systems for massively parallel, low-power and low-latency computation. In a presentation titled “Resistive Memories-Based Concepts for Neuromorphic Computing”, Elisa Vianello, CEA-Leti’s edge AI program manager, said RRAMs, aka memristors, offer advantages […]
CEA-Leti Presents RRAM’s ‘Promising Advantages’ For Neuromorphic/In-Memory Computing at IEDM 2022
December 7, 2022 by
CEA-Leti: Neuromorphic Device Uses Up to ‘5 Orders of Magnitude’ Less Energy
July 7, 2022 by
GRENOBLE, France – July 7, 2022 – Technical research institute CEA-Leti announced it has developed an event-driven, object-localization system that couples 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 by up […]
CEA-Leti Scientist Elisa Vianello Receives €3 Million ERC Grant for Nanoscale Memories
March 22, 2022 by
GRENOBLE, France – March 22, 2021 – CEA-Leti today announced that Elisa Vianello, senior scientist and Edge AI program coordinator, has received a €3 million grant from the European Research Council (ERC) to build nanoscale memory devices inspired by insect nervous systems for such applications as consumer robotics, implantable medical diagnostic microchips and wearable electronics. The […]
CEA-Leti Announces EU Project to Mimic Multi-Timescale Processing of Biological Neural Systems
April 20, 2021 by
GRENOBLE, France – April 20, 2021 – CEA-Leti announced today the launch of an EU project to develop a novel class of algorithms, devices and circuits that reproduce multi-timescale processing of biological neural systems. The results will be used to build neuromorphic computing systems that can process efficiently real-world sensory signals and natural time-series data […]
CEA-Leti Envisions LiDAR Systems Based on Integrated Optical Phased Arrays
March 8, 2021 by
GRENOBLE, France – March 8, 2021 – Taking a step toward developing LiDAR systems for widespread commercial applications, CEA-Leti has developed genetic algorithms to calibrate high-channel-count optical phased arrays (OPAs), as well as an advanced measurement setup enabling wafer-scale OPA characterization. OPAs are an emerging technology made of arrays of closely spaced (around 1µm) optical antennas […]
