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Artificial cultural belief evolution – ACBE
Social aspects of human beings have induced their remarkable cognitive capabilities. Cultural evolution is considered to have taken over biological evolution in their development. Yet, current work in artificial intelligence, besides one-to-one dialogues, does not take it into account. We aim at bri
Artificial intelligence for extremist content analysis – FLYER
Nowadays the Internet is a prominent staple in providing youth with learning, entertainment and interactions. Taking advantage of the same dynamics, terrorist groups have begun to reach out to youngsters in an attempt to spread messages of hate and violence or even find potential recruits on the Int
Artificial intelligence for food-related emotions analysis – aiMotions
Emotions constitute an essential factor that significantly influences our behaviors. Eating behavior is no exception and the relationships between emotions and food are of great interest to the scientific community. Emotional states influence eating behavior including motivation to eat, food choice,
Artificial intelligence on FPGAs: a breakthrough for data acquisition in high energy physics experiments and beyond – AIDAQ
The growing processing power of high-end FPGAs (Field Programmable Gate Array) opens new cutting-edge technological opportunities combining the powerful potential of Artificial Intelligence algorithms to big data processing capabilities (100Tb/s). Overcoming this major technological challenge opens
Artificial intelligence, by the University of Bordeaux – AI by UBx
AI by UBx is a proposal of the University of Bordeaux built conjointly with the center Inria Bordeaux-Aquitaine to accelerate the ongoing development of Bordeaux as an AI reference center thanks to a proactive policy to attract national and international talents in innovative Ph.D tracks. The overal
Artificial intelligence-driven approach to understand and predict drug-drug interactions related to ABC transporters and metabolizing enzymes – MetABC
Drug efficacy/toxicity prediction is a major concern in modern research and development. To prevent adverse drug reactions, in silico approaches assessing ADMET (absorption, distribution, metabolism, excretion, toxicity) have become an integral part of early drug discovery. We will develop an origin
Artificial probabilistic information for ocean-climate applications – REPLICA
Ongoing climate change is a critical problem for society, with wide-ranging potential impacts. Through its ability to store, transport and release heat, the ocean will play a key role in determining future climate evolution by modulating the atmospheric warming response. However, the ocean is able t
Artificial-Intelligence-based Methods for Nanobody Design – ANDES
ANDES aims at developing and experimentally validating new computational methods for nanobody design, with a large spectrum of applications (therapies, diagnosis…) in order to have efficient technological solutions, ready to react very quickly and to face the emergence of new viruses. Our ambition l
Arts, Technologies, numérique, médiations humaines & Créations
Cette année a été marquée par l’élargissement du consortium d’ArTeC avec l’association de trois nouveaux laboratoires : le Laboratoire d’Intelligence Artificielle et Sémantique des Données (LIASD, Paris 8), l’Institut d’Histoire du Temps Présent (IHTP, UMR 8244, Paris 8), le Labo
Assessing Patient-Explanted Stents and Novel Lab-Developed Alloys Towards Comprehensive Database for Next-Generation Cardiovascular Stenting – APEX-STENT
Cardiovascular diseases (CVD) are responsible for 32% of all global mortalities. Percutaneous Coronary Intervention (PCI), which employs stents—mainly composed of CoCr alloys and stainless steels—to maintain arterial openness, faces challenges due to the allergenic properties of Nickel and the poten
