Tag: CEA-Leti
The system comprisng of various sensors improves surgery accuracy, detects infection early and enhances rehabilitation
Due to sedentary lifestyles, our bodies are not getting enough physical activity, especially moving from one place to another on feet.
According to estimates by the...
CEA-Leti has reported the world’s-first demonstration of 16-kbit ferroelectric random-access memory (FeRAM) arrays at the 130nm node that advances this energy-saving technology closer to commercialization. The breakthrough includes back-end-of-line (BEOL) integration of TiN/HfO2:Si/TiN ferroelectric capacitors as small as 0.16 µm², and solder...
These ferroelectric memories are fully compatible with CMOS processes, scalable to advanced nodes and lead-free
World's first 16-kbit ferroelectric random-access memory (FeRAM) arrays at the 130nm node have now been developed, bringing the energy-saving technology closer to commercialisation. The advanced...
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...
