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-List developed a comprehensive workstation ergonomics assessment tool that analyzes the worker’s posture and effort to rate how difficult a job is. The tool was developed as part of the Ergoforce project at FactoryLab.
Federated learning: CEA-List’s new platform offers a range of innovative tools partners can use to train their models while maintaining a very high level of data security. The platform will be constantly updated with advanced modules to handle heterogeneous data and improve cybersecurity.
Secure cloud solution provider Scille turned to CEA-List for help protecting data in unsecured areas of the cloud. The institute developed a blockchain-based tool to make Scille’s Parsec cloud workspace more robust.
Blockchains will have to be able to communicate with each other if the development of the technology is to pick up speed. Blockchain startup Toposware joined forces with CEA-List to develop a blockchain interoperability protocol that does away with a central authority.
CEA-List recently developed a new tool to help medical physicists predict the validity of conformal radiotherapy protocols faster. This solution can even eliminate the initial quality control step in some cases while still ensuring optimal patient safety.
Resistive Random Access Memory (ReRAM) is a type of emerging Non-Volatile Memory (NVM) that scales easily to lower process geometries for future embedded NVM applications. Because of its simple structure, a ReRAM cell is small, fast, easy to stack, and consumes extremely low power.