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Deep Neural Networks for the design of photonic devices – DNN4Photonics
The urgent need for innovative solutions underscores the transformative impact of enhanced modeling in advancing large-scale nanophotonics. To address these challenges and expedite the design process, recent studies have explored the potential of Artificial Intelligence (AI), specifically Deep Lear
Disrupting Immersive Sound With Distributed FPGAs – DIStrib
Interest around spatial audio has been booming in recent years. An increasingly high number of movie theaters, concert halls, Virtual Reality (VR) platforms in museums, attractions in amusement parks, etc. are equipped with advanced spatial audio systems involving a large number of speakers. The aut
Semantic Communication for Future Networks – COMSEMA
Wireless networks are currently witnessing a radical shift from a purely data-oriented architecture to service and intelligent-based architectures, allowing hence the support of a diverse set of verticals. Thanks to the development of AI, future networks are expected to incorporate an even larger se
GAme Theory and Statistical estimation Bring Importance measures and Interpretability – GATSBII
The extensive use of machine learning (ML) models in data-based artificial intelligence (AI) systems --especially those submitted to new European regulations-- require explanations, to serve the intelligibility and auditability of these AI systems. Explainability in AI (XAI) is linked to the abil
Data-driven sOLar Massive deployment in European Nations – DOLMEN
The DOLMEN project aims to accelerate the energy transition through the development of a scalable, data-driven approach for the deployment of rooftop photovoltaic (RPV) systems at large scale. Rooftop PV systems significantly contribute to reducing greenhouse gas emissions, but effective deployment
Holistic and Generalizable Solutions for Bias Mitigation in Face Recognition – GOOD-BIAS
Bias in AI results from systematic discrimination in artificial intelligence systems. Often, this stems from non-representative training data or societal biases reflected within even diverse datasets. Such biases can lead to unfair advantages for certain groups, with consequences ranging from hiring
Augmented Reality for Surgery – Lynx Medical
Health is a very dynamic research field, in full expansion, and which is constantly nourished by hybridization with multiple emerging scientific fields. Among these, digital health puts the resources of artificial intelligence at the service of public health and the organization, management and eval
REliable hardware for TRUSTworthy artificial INtelliGence – RE-TRUSTING
Artificial Intelligence (AI) algorithms, and in particular Deep Neural Networks (DNNs), typically run in the cloud on clusters of CPUs and GPUs. To be able to run DNNs algorithms out of the cloud and onto distributed Internet-of-Things (IoT) devices, customized HardWare platforms for Artificial Inte
See, Touch and Manipulate: Robot Learning for Dexterous Robot Bimanual Manipulation through Vision and Touch – Aistotle
Dexterous manipulation has been a long-standing challenge in AI and robotics. Already Aristotle noted that the hand is the “tool of tools”, and Anaxagoras held that “man is the most intelligent of the animals because he has hands”. Thus, intelligence has long been understood to come together with de
Optical Twin For Diagnosis – OT4D
OT4D, a joint laboratory between the "Haematopoietic and Leukaemia Development" team, (Saint-Antoine Research Centre, Sorbonne University) and TRIBVN, is dedicated to the development of new approaches in new generation optical microscopy to better feed artificial intelligence tools for the diagnosis
