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TowaRds Energy Efficient diStributed learning for 6G – TREES
TREES aims to reduce the carbon footprint of 6G networks by integrating distributed federated learning (DFL), as a tool for predicting orchestration actions and improving energy efficiency. DFL is an Artificial Intelligence (AI) paradigm, one of whose advantages is that it consumes less energy. To a
Trustworthy and Reliable Artificial intelligence for VEhicuLar networks – TRAVEL
Future networks are expected to be a platform of “connected intelligence “solving human and societal challenges. This concept, referred to as "native artificial intelligence (AI)", is regarded as one of the pillars of 6G. In this paradigm, intelligence will be integrated at various levels of the com
Transcending the Usual Rationale for the Future of Ubiquitous NETworks – TURFU-NET
The TURFU-NET project orchestrated by Quentin Bramas at the University of Strasbourg represents a pioneering initiative set to redefine network management and optimization through the integration of cutting-edge neurosymbolic Artificial Intelligence (AI). Spanning four years, this collaborative effo
Original Computational Techniques for Optimization of Polymers Using Sustainable SYnthesis – OCTOPUSSY
This project aims at the design and synthesis of novel polymers derived from renewable feedstocks with application as commodity or specialty materials (e.g. flexible sustainable packaging), using a synergetic computational and experimental dialogue. For this purpose, artificial intelligence models b
Robust deep learning in surgical robotics – RODEO
The RODEO project focuses on robotic-assisted spine surgery. The system perceives its environment through various sensors, RGB-D (depth) images and intraoperative CT scans, and it moves its articulated arms to perform the surgery. RODEO aims to significantly increase the automation of the process, p
Center for Technical innovations for Health using Physical Exercise – CITSAP
The LabCom CITSAP aims to develop innovative methods and tools for health through physical activity, in order to prevent the onset of chronic pathologies, limit their consequences, promote Good Ageing and home support. Since 2017, the prescription of adapted physical activity has considerably altere
Generative Network Intelligence and Optimization Ecosystem – GENIE
GENIE (Generative Network Intelligence and Optimisation Ecosystem) aims to revolutionize network infrastructure management by proposing an approach combining the strengths of Large Language Models (LLMs) and network domain-specific expertise. This novel solution addresses the limitations of conventi
Unlocking the potential of biofilm properties in beneficial microbes for One Health advancements – Biofilm1Health
The "Biofilm1Health" joint laboratory program is a collaboration between the "Biofilms and Spatially Organized Communities" (B3D) team at the Micalis Institute (UMR 1319 INRAE, AgroParisTech, Université Paris-Saclay) and Lallemand SAS. It aims to harness the beneficial properties of microbial biofil
Laboratory on Autonomous and Empathetic Multimodal Agents – LAMAE
For several years, the Carnot Interdisciplinary Laboratory of Burgundy, UMR CNRS 6303, has been developing research on generative AI and the use of this AI in business processes. For example, printing 4D objects made of smart materials is a real challenge in terms of designing and understanding the
Bias-Aware NEural aRchitecture seArch – BANERA
Artificial neural networks are nowadays one of the most studied and used algorithms for Artificial Intelligence to solve a huge variety of tasks. However, many deep models share a common drawback: their growing complexity challenges the computational capability of embedded devices and poses question
