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Mixed Initiative Co-Creative Design for Long-Term Human-AI Musical Partnerships – MICCDroP
Current Human-Artificial intelligence (Ai) co-creative systems, also known as Mixed Initiative Co-Creative systems (MICC) have opened new avenues in music generation. These systems facilitate novel creative processes and modes of interactions. However, these systems lack the ability for long-term ad
Phase Change Coordination Polymers for Integrated Photonics – CHIP
Programmable photonic integrated circuits made of non-volatile phase-change materials (PCM) are very appealing systems that can define programmable wavelength filters, which are essential building blocks for communication, sensor applications, quantum information processing, neuromorphic computing a
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
Gender inequality : Stereotype effects on career choices and academic achievement – STECCIE
The under-representation of girls in science courses not only contributes to gender inequalities at school and in the labour market, but also represents a significant loss of potential talent in high-demand fields such as computer science and artificial intelligence. This under-representation of gir
?-Muscle Analysis Matrix – ChiMAlMa
An in-depth knowledge of the microscopic fine ultrastructure of muscles is imperative for the accurate diagnosis of various diseases characterized by muscle dysfunction. At present, a biopsy is the only reliable clinical method that offers a conclusive diagnosis of the pathology. Duchenne dystrophy,
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
Knowledgeable and Multimodal Geographic Large Language Models Grounded with Reasoning and Retrieval – Geo-R2LLM
Recent Artificial Intelligence (AI) research has given rise to a paradigm shift brought by Large Language Models (LLMs). Though LLMs arose from research in Natural Language Processing (NLP), it is well-known today that zero-shot and few-shot transfer learning methodologies as well as novel promptin
Chemical Reaction Optimizations in the AI Era: Fewer, Faster, Better – ChemAI
Chemistry, particularly synthetic chemistry, is undergoing a profound transformation in its practices with the advent of robotics, flow chemistry, in-line monitoring and digital tools. Optimization is one of the areas of synthetic chemistry most affected by the digitalization of chemistry because, b
Pushing a PETase to the extremes of NMR – NMRATOMIC
Nearly 90% of the 400 million tonnes of plastics produced in 2022 were derived from fossil sources. Despite numerous efforts over the past decades, only 10% come from recycled sources, whether through mechanical or chemical processes, or the use of bio-based plastics. In addition to reducing the pro
Airborne Pollen Remote Identification by Lidar – APRIL
As part of the ecological transition, climate shifts and human-induced changes stress global vegetation. Pollen is a key component in ecosystem maintenance. Monitoring it is then essential for analysing climate impact, biodiversity preservation, ecosystem health, sustainable agriculture, allergy dia
