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Distributed Algorithms for Microbiological Systems – DREAMY
Recent advances in the design of genetically engineered synthetic bacteria have high potential impact on new solutions towards biological computing by bacteria such as bio-sensing applications, bio-production, and intelligent drugs. This research project proposes innovative solutions to the problem
Distributed Intelligence for Enhancing Security and Privacy of Decentralised and Distributed Systems – Di4SPDS
Decentralised and distributed systems can support business with needs relating to computing and processing capacity in real time. However, these systems are constantly facing challenges from the sophisticated cyber-attack which are evolved and propagated different parts of the system to pose any pot
Distributed deep learning for classifying multimodal, uncertain and rare data in ophthalmology – ADMIRE
Artificial intelligence in Health, and in Ophthalmology in particular, has been very successful over the past four years. The work carried out jointly by LaTIM (Inserm - Research Unit 1101) and Evolucare Technologies, as part of the RetinOpTIC project funded by FUI in 2015, resulted in 2018 in a sof
Do human and artificial intelligence share semantic representations? – AI-REPS
Recent developments in AI (artificial intelligence) and deep learning are revolutionizing technology and society. Cognitive neuroscience can draw inspiration from these deep neural networks (DNNs) to understand important brain functions like face recognition in vision, or word and sentence comprehen
Doctoral programme in Artificial Intelligence at Aix-Marseille Université – AIDoc@AMU
Aix-Marseille University (AMU) via the A*Midex Foundation is a candidate for the call “Contrats doctoraux en Intelligence artificielle établissement”. The doctoral programme AIDoc@AMU we propose within the framework of this call is in line with the policy pursued in recent years by AMU, which has en
Doctoral studies in AI in Lille – AI_PhD@Lille
The AI_PhD@Lille program is proposed by the University of Lille (ULille) in collaboration with the Inria center of Lille in the context of the Initiatives for Science, Innovation, Territories and Economy (I-SITE) ULNE. It is a complementary application to the one of Centrale Lille. ULille and In
Domain Adaptation for Neural Data Integration – DANDI
Developing machine learning methods suitable for data-limited systems is a core concern of artificial intelligence (AI) for health which typically suffers from sparse data. One promising approach is to leverage related data-rich systems through transfer learning; for example, by pre-training models
Driver - Automated Vehicle Cooperation – CoCoVeA
The consortium in the CoCoVeA project proposes: • to develop a cooperative architecture between drivers and assistance systems for automated driving (sharing of vehicle control); • to implement these systems on demonstrators, in driving simulators and on real vehicles; • to experimentally validat
Droplet-based Textile Microfluidics for High-Throughput Organoids Screening – DROMOS
The project aims to develop a new type of platform for screening from cellular spheroids. This platform is based on the microfluidic technology of drops, or more precisely of «plugs«, i.e. drops strongly confined in a cylindrical channel. Each channel contains a «train« with several series of drops
Durability improvement for PEM water Electrolysers by AI-accelerated multiscale degradation modelling – DuraPEME
In France, water electrolysis using renewable energy is nowadays considered a promising solution for producing hydrogen without dependencies on fossil fuels. Among different types, polymer electrolyte membrane water electrolysers (PEMWE) are considered the most favourable technology for hydrogen gen
