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Article | High performance computing
Taking up tomorrow's computing challenges in a connected world: maintaining performance progress while curtailing power consumption.
New computing technologies
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.
CEA-Leti invites decision makers on the lookout for innovative and promising chip-based R&D, as well as editors, analysts and entrepreneurs to peruse the institute's reader-friendly "2021 Highlights" report
CEA-Leti, Université Grenoble Alpes, CNRS Institut Néel, and CEA-Irig shared a new three-step characterization chain for linear silicon quantum dot (QD) arrays fabricated on fully depleted silicon-on-insulator (FDSOI) material.
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.
While quantum computers have become the Holy Grail in the quantum field, there is a much more advanced branch which harnesses the same properties, that of quantum sensors. In fact, these have become one of the key technological solutions in the quantum computer quest, not just to detect encoded information, but also in telecommunications or medical imaging, and numerous other applications.
CEA is a French government-funded technological research organisation in four main areas: low-carbon energies, defense and security, information technologies and health technologies. A prominent player in the European Research Area, it is involved in setting up collaborative projects with many partners around the world.