Search for a funded project
Algorithms for modeling the visual system: From natural vision to numerical applications. – KEOpS
The survey of sensory biological solutions to the physics problems offers an inspiring wealthy source for the design of artificial or bio-inspired sensory systems. A better understanding of sensory coding may have fruitful applications, in the long term for people with low or impaired vision, while enactive vision is targeted in the short term. Furthermore, the whole corpus of produced knowledge is going to help better understanding how the brain works.
An intelligent assistant providing risk diagnosis for industrial procedures – LELIE
based on language processing and artificial intelligence that detects potential risks of different kinds [...] of efforts in language processing, artificial intelligence and cognitive ergonomics to better fulfill user
Bridging social psychology of cognition and behavior genetics: A new look at twin studies. – TWINS
task at hand (the same task measuring fluid intelligence in both conditions), resulted in reduced within-pair
COgnitive MIcroscope: A cognition-driven visual explorer for histopathology. Application to breast cancer grading. – MICO
medical imaging technology using context in an intelligent way. Our platform will be capable of cognitive
Contextual Analysis and adaptive Search – CAAS
itself. The system must be able to have the intelligence to decide the most adequate technologies compared
Cooperative Perception and Communication in vehicular technologies – CooPerCom
The use of new technologies in vehicular applications is precluded by constraints like optimizing solutions and finding trade-offs between safety, low-cost, manufacturability, environment friendliness and standard regulations. We intend to put emphasis on the safety aspects of the requirements while keeping in mind the other issues. The collaborative approach we propose for building an extended vehicular perception in clusters of vehicles will provide a first answer to this problem.
Data lift: from published raw data to interlinked semantic data. – Datalift
s in order to ensure interoperability and intelligibility of the data. More specifically, it consists
Dependability-focused Evaluation of Sensor Networks – MURPHY
Murphy aims at easing the development of dependable and pervasive applications built on top of robust wireless sensor networks,