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Leveraging External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems – LUCAS
This project seeks to leverage external data to represent, analyze, understand, and identify the causes of anomalies observed on water network systems. It aims to break with traditional approaches to problem analysis based on a single source, and to take advantage of independently designed database
France brazil collaboration on universal behavior of exotic nuclear systems – FBCUBES
The FBCUBES project aims to enhance our understanding of neutron-rich systems, which are crucial to contemporary nuclear physics. By employing few-body techniques alongside cutting-edge ab initio methods, we seek to address the challenges of modeling weakly bound neutron-rich systems. This research
Fostering Understanding of algorithm TrUst to Reduce aversion through Emotional and external advices influences – FUTURE
Advancements in artificial intelligence and new technologies is leading to the increasing integration of algorithms (i.e., decision support systems) into production systems. However, despite their benefits, a key observation remains: some individuals are reluctant to use the decision support systems
Adaptive Distributional and Algorithmic Robustness – ADAR
In machine learning, safety concerns arise from various factors, including data variability, algorithm instability, fairness and privacy constraints, and unpredictable environmental changes. Distributionally Robust Optimization (DRO) tackles these challenges by optimizing models across potential dat
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
Vanguard Low-Field MRI for Acute Stroke diagnosis – VLF-Stroke
Stroke, 85% of which is ischemic, is the leading cause of acquired disability in adults and one of the most time-critical conditions in medicine. High-Field MRI (HF-MRI) is the gold standard for acute stroke diagnosis in France, but its use is limited by infrastructure requirements, high costs, and
Police institutions in the Arab World: (re)-configurations and visibility – ArabPol
The ArabPol project studies police forces in Arab countries through a comparative lens, focusing on four specific cases: Morocco, Tunisia, Egypt, and Syria. It seeks to fill a gap in research on policing institutions in the region, which are often overshadowed by studies on the military or intellige
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
ARTIFICIAL INTELLIGENCE AND ALGORITHMIC COLLUSION (AIAC) – AIAC
The rise of AI and automated pricing algorithms prompts questions about their market impact. It's hypothesized that these algorithms could facilitate collusion by optimizing utility, much like rational economic agents. This potential has been explored in contexts such as the European Digital Markets
Transforming France-China Public Diplomacy and Reputation Management in the Digital Era: Policy Shifts, Communication Strategies, and Impact Exploration – PubDiplo
As great powers in Western Europe and East Asia, France and China have historically influenced each other’s public diplomacy and cross-cultural communication. France’s cultural diplomacy models, for instance, inspired China’s establishment and development of public and cultural diplomacy policies an
