CEA-Leti Archives - High-Performance Computing News Analysis | insideHPC https://insidehpc.com/tag/cea-leti/ At the Convergence of HPC, AI and Quantum Fri, 31 May 2024 13:06:48 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.3 57143778 CEA-Leti Reports 3-Layer Integration, Progress toward AI-Embedded CMOS Image Sensors https://insidehpc.com/2024/05/cea-leti-reports-3-layer-integration-progress-toward-ai-embedded-cmos-image-sensors/ https://insidehpc.com/2024/05/cea-leti-reports-3-layer-integration-progress-toward-ai-embedded-cmos-image-sensors/#respond Fri, 31 May 2024 13:06:37 +0000 https://insidehpc.com/?p=94150

DENVER – May 31, 2024 – CEA-Leti scientists have reported three projects at ECTC 2024 that they say are steps to enabling CMOS image sensors (CIS) that can exploit image data to perceive a scene, understand the situation and intervene in it – capabilities that require embedding AI in the sensor. Demand for smart sensors is […]

The post CEA-Leti Reports 3-Layer Integration, Progress toward AI-Embedded CMOS Image Sensors appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
https://insidehpc.com/2024/05/cea-leti-reports-3-layer-integration-progress-toward-ai-embedded-cmos-image-sensors/feed/ 0 94150
UCSD and CEA-Leti Paper: DC-DC Converter Unifies Power Switches on a Single Chip https://insidehpc.com/2024/02/ucsd-and-cea-leti-paper-dc-dc-converter-unifies-power-switches-on-a-single-chip/ Tue, 20 Feb 2024 20:47:01 +0000 https://insidehpc.com/?p=93492

SAN DIEGO and GRENOBLE, France – Feb. 20, 2024 – University of California San Diego and CEA-Leti scientists report they have developed a ground-breaking piezoelectric-based DC-DC converter that unifies all power switches onto a single chip to increase power density. This new power topology, which extends beyond existing topologies, blends the advantages of piezoelectric converters […]

The post UCSD and CEA-Leti Paper: DC-DC Converter Unifies Power Switches on a Single Chip appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
93492
CEA-Leti Paper Reports Memristor-Based Bayesian Neural Network Implementation https://insidehpc.com/2023/12/cea-leti-paper-reports-memristor-based-bayesian-neural-network-implementation/ Thu, 07 Dec 2023 15:31:16 +0000 https://insidehpc.com/?p=93051

GRENOBLE, France – Dec. 7, 2023 – A team comprising CEA-Leti, CEA-List and two CNRS laboratories has published a paper in Nature Communications presenting what the authors said is the first complete memristor-based Bayesian neural network implementation for a real-world task — classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty. Considering medical-diagnosis and […]

The post CEA-Leti Paper Reports Memristor-Based Bayesian Neural Network Implementation appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
93051
CEA-Leti Presents RRAM’s ‘Promising Advantages’ For Neuromorphic/In-Memory Computing at IEDM 2022 https://insidehpc.com/2022/12/cea-leti-presents-rrams-promising-advantages-for-neuromorphic-in-memory-computing-at-iedm-2022/ Wed, 07 Dec 2022 13:50:41 +0000 https://insidehpc.com/?p=90663

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 […]

The post CEA-Leti Presents RRAM’s ‘Promising Advantages’ For Neuromorphic/In-Memory Computing at IEDM 2022 appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
90663
CEA-Leti: Neuromorphic Device Uses Up to ‘5 Orders of Magnitude’ Less Energy https://insidehpc.com/2022/07/cea-leti-neuromorphic-device-uses-up-to-5-orders-of-magnitude-less-energy/ Thu, 07 Jul 2022 16:02:28 +0000 https://insidehpc.com/?p=89884 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 […]

The post CEA-Leti: Neuromorphic Device Uses Up to ‘5 Orders of Magnitude’ Less Energy appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
89884
CEA-Leti Scientist Elisa Vianello Receives €3 Million ERC Grant for Nanoscale Memories https://insidehpc.com/2022/03/cea-leti-scientist-elisa-vianello-receives-e3-million-erc-grant-for-nanoscale-memories/ Tue, 22 Mar 2022 14:50:11 +0000 https://insidehpc.com/?p=89320 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 […]

The post CEA-Leti Scientist Elisa Vianello Receives €3 Million ERC Grant for Nanoscale Memories appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
89320
CEA-Leti Announces EU Project to Mimic Multi-Timescale Processing of Biological Neural Systems https://insidehpc.com/2021/04/cea-leti-announces-eu-project-to-mimic-multi-timescale-processing-of-biological-neural-systems/ Tue, 20 Apr 2021 21:16:27 +0000 https://insidehpc.com/?p=87419  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 […]

The post CEA-Leti Announces EU Project to Mimic Multi-Timescale Processing of Biological Neural Systems appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
87419
CEA-Leti Envisions LiDAR Systems Based on Integrated Optical Phased Arrays https://insidehpc.com/2021/03/cea-leti-envisions-lidar-systems-based-on-integrated-optical-phased-arrays/ Mon, 08 Mar 2021 18:28:14 +0000 https://insidehpc.com/?p=87035 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 […]

The post CEA-Leti Envisions LiDAR Systems Based on Integrated Optical Phased Arrays appeared first on High-Performance Computing News Analysis | insideHPC.

]]>
87035