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Artificial Intelligence for Studying Communication in Wild Animals – WildCom-AI
In this project, we will use AI to explore the links between information processing in the brain of information and complex behaviours expressed by non-human primates in the natural environments. We will study the influence of face perception on socio-sexual behaviours in Mandrill (Mandrillus sphinx
Artificial Intelligence for Virtual Screening and Drug Discovery: Integrated Machine Learning and Molecular Electron Density approach – ScoreDockPolariz
Virtual screening and docking-scoring methods are essential in preselecting hit molecules for pharmacological targets among millions of compounds. Structure-based methods aim to select the best potential hits for in vitro assays. Docking and scoring remain currently a major challenge in retrieving t
Artificial Intelligence for adaptation to detection & identification of thermal targets – IAADICT
The aim of the project proposed by Bertin Technologies, CEA and ISL is to develop a system to assist in the detection, recognition and identification of threats in the visible and infrared domains. The algorithm developed during this project is intended to be embedded in optronic systems used in the
Artificial Intelligence for chromosomal aberrations scoring in dosimetry – INCREASED
Exposure to ionizing radiation can have serious consequences for the health of exposed people and potentially impact many victims. There is now well-established scientific knowledge of the health effects induced by different dose levels and their associated kinetics of occurrence. Thus, once the fir
Artificial Intelligence for clerMont – AIM
In the last few years, machine learning has become an increasingly important part of UCA’s research programs. In the last three years, at least 10 thesis on IA have been started and several laboratories are directly involved in a project related to IA. Key investments have been made in computing cap
Artificial Intelligence for forest monitoring from space – AI4Forests
Managing and conserving forest ecosystems in Europe and worldwide is an indispensable component of climate adaptation and climate change mitigation strategies. Precise and up-to-date information about the health and the carbon balance of forests are, hence, critical to assess the current state of fo
Artificial Intelligence for the detection and geolocation of an illegitimate electromagnetic source – DEPOSIA
DEPOSIA focuses on the detection and geolocation of various radio frequency signal sources in order to thwart attacks on connected systems and infrastructures. The sources considered are elements which by their characteristics or their position, present an illicit character and which threaten the pe
Artificial Intelligence for the study if Charleville, Ré (Island), Tous and INED demographic data – DAI-CRETDHI
Historical demography and the social history of the family have long sought to measure phenomena, in time or space, by favoring methods of analysis based on aggregated corpora. Recent advances in artificial intelligence open up new perspectives for revisiting these themes, starting directly from the
Artificial Intelligence in Drug Discovery for Health – AIDD4H-v2
AIDD4H-V2 is a LabCom in the field of personalized medicine, initiated by the Oncodesign a biopharmaceutical company and the CIAD EA 7533 laboratory, specialized in Hybrid and explainable Artificial Intelligence. AIDD4H, for Artificial Intelligence in Drug Discovery for Health, focuses more specific
Artificial Intelligence in Real-Time systems – ARTi
The growing utilization of artificial intelligence (AI), like deep neural networks, in embedded real-time systems poses many challenges. One of these is the very large quantity of data processed by these algorithms, which impacts their execution time and power consumption on resource-limited platfor
