Speeding innovation for industry
News | Cross-functional disciplines
Silicon photonics—integrated optical circuits on silicon substrates—first emerged around 20 years ago. Since then, the now-crucial technology has gained traction on growing demand for very-high-speed fiber optic communications. Scientists at CEA-Leti are pushing silicon photonics to new limits to bring data centers and supercomputers the terabit/s capabilities they need.
In research for the European Space Agency’s Artes+ MONAMI project, Kinéis and CEA-Leti are developing the next generation of miniature hybrid terrestrial/satellite antennas for IoT sensors.
Artificial neural networks, a form of artificial intelligence, can be trained efficiently using collaborative learning, where the training data comes from multiple private sources.
CEA-Leti has developed an innovative optical sensor called μPMSense that can detect finer particles than today’s commercially available sensors. The new device can even identify non-organic, metal, and carbon-based particles that today’s products cannot pick up at all.
CEA-List recently worked with two partners to develop PapyGame, a gamified version of its Papyrus modeling software. The idea is to boost user acceptance of modeling and modeling software by making learning fun and—literally—rewarding.
As the number of IoT devices increases, so does the number of spent batteries that have to be dealt with. Making battery lifespans longer is one of the responses to this major environmental and societal challenge. The CEA Tech institutes are developing technologies and contributing to research and development projects to do just that.
IoT sensor manufacturers no longer have to choose between environmental performance and profitability thanks to a technology known as organic printed electronics. A label with an integrated impact detector for the tracking of fragile packages and other items was recently printed on a paper substrate. The self-powered sensor is sensitive enough to detect even the tiniest impacts.
Communication network management and configuration tools developed by CEA-List, a CEA Tech institute, recently enabled autonomous vehicle platooning for the EU Autopilot project, but the potential applications for these tools are much wider.
The Divora automated voice-dictation report-generation tool is built on a multilingual language analyzer developed by CEA-List, a CEA Tech institute. The tool saves time and enhances the quality of the information recorded.
Theoretically, in-memory computing should make it possible to reduce circuit power consumption. Researchers recently verified this hypothesis in the lab, using tools they developed for the programming of innovative computing architectures.
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.