Speeding innovation for industry
News | Cross-functional disciplines
For a new consecutive year, the CEA will be present at CES, at EUREKA PARK with a device including a technological innovation and 4 startups that allow to encompass three major transitions of the moment that are health, energy and digital.
The barn owl, a type of common owl, deftly uses its sight and hearing together to home in on prey. The bird’s performance inspired CEA-Leti researchers to develop a particularly efficient acoustic object location system that consumes up to 100,000 times less energy than conventional systems.
When speed, robustness, and low power are non-negotiable, event-based image sensors possess some intrinsic qualities that clearly position them ahead of other kinds of devices. However, they do have one major flaw, which is that when the entire scene moves, a huge number of events is generated. An advance recently made at CEA-List solves this problem.
CEA-List recently came up with a method for selecting the most suitable existing neural network for adaptation and reuse for new target applications.
Whether it’s medical deserts, overcrowded hospital wards, or a lack of solutions for patients too sick to move, medical radiology is no stranger to today’s healthcare challenges.
CEA-List has developed a new multimode method to improve the quality controls performed on the conductive inks used to make printed electronics.
CEA-Liten recently developed a system to control heat and power production and supply systems more realistically.
RTE and the CEA have just completed an 8-month experiment on the charging infrastructure for electric vehicles at the CEA centre in Cadarache. The aim was to link the charging stations to a solar power plant and an intelligent management and control system in order to significantly increase the share of solar energy in electric mobility.
CEA-List developed a real-time livestock monitoring system that leverages the analysis of video streams to identify individual animals and specific behaviors that can indicate disease or whether an animal is in heat, for example.
The VMachina 2 project has resulted in the development of a multi-user virtual reality platform for training industrial operators on machines and other job tasks.
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.