Search for a funded project
OPen Innovation : Models and Places in Urban China – OPIMPUC
virtual social networks that distribute widely intelligence and knowledge through colleagues and members
Notifying Memories for Dynamic Data-Flow Application – Nooman
The current architecture of computers where memory is a servile component subject to processor requests imposes constant and energy-consuming transfers. However, many of these requests are unnecessary. My goal is to bring intelligence to the memory to delete these requests because they are useless and halve the energy consumed, which will have a major impact in the context of a growing number of digital devices and the goal of a carbon-neutral society.
Normative Artificial Intelligence for regulating MANufacturing – NAIMAN
automation is tackled with the use of autonomous and intelligent agents that interact with each other on the [...] situations and conditions, and to transparently and intelligibly express their decisions to an human operator
Nonlinear photonic lanterns for spiking neural networks – NOLANN
avenues in fundamental research for artificial intelligence and explore the potential of optical systems
Non-conventional, intelligent, on-board radar imaging for postural analysis – SmartGaitLab
One of the major societal challenges facing the world between now and 2040 is the exponential ageing of the population [1]. In view of this public health problem, it is becoming essential to develop n
Non Invasive Device assessing Pharyngo-Laryngeal Effectiveness – PhLEs-NID
functioning. Thanks to their treatment by artificial intelligence, it will allow early management of swallowing
No conventional imagery for secure urban mobility – ICUB
Polarimetric imaging characterizes the reflection of the light. The use of this feature will allow us to go beyond the problems related to only pattern recognition. The light-material interaction and the relationship between polarization, reflection and fog will be a major asset to address the problem of road scene analysis in reduced visibility conditions . In addition, deep neural networks have shown their superiority for obstacle detection over conventional methods.
