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Features auto-exposure for all lighting conditions, motion detection and AI-based object recognition, enabling highly reliable identification An autonomous imager technology that activates smartphones and small appliances through face recognition or other specific patterns has been announced by CEA-Leti. Called µWAI...
OPAs with solid-state beam steering can reduce the cost and size of LiDAR systems along with improved performance Taking a critical step toward developing LiDAR systems for widespread commercial applications, CEA-Leti has developed genetic algorithms to calibrate high-channel-count optical phased...
Paper presented at the ISSCC 2021 shows how new adaptive back-biasing technique overcomes integration limits in chip design flows CEA-Leti and Dolphin Design have developed an adaptive back-biasing (ABB) architecture for Fully Depleted Silicon on Insulator (FD-SOI) chips that can...
It can operate at frequencies in the order of 50 kHz, which is more than two times higher than the capability of conventional MEMS gyroscopes Due to their small footprint and low power consumption, MEMS gyroscopes help in monitoring...
The machine learning technique overcomes past barriers to developing intelligent RRAM-based edge-learning systems Scientists from CEA-Leti have demonstrated a machine-learning technique that assists in the development of resistive-RAM (RRAM)-based edge-learning intelligent systems. The learning algorithms currently used in RRAM-based edge approaches...
MicroLEDs have been produced on both 200mm and 300mm nanowire silicon wafers that can improve integration with smaller-node electronics Claiming to be the world's first, Aledia, a French startup in disruptive technology for microLED displays has manufactured microLED chips that...