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Algorithmic justice in elections – JADE
The aim of the proposal is to continue and develop beyond its current capacities an IDEX research project of the University of Grenoble-Alpes that is currently underway and will come to an end in 2025, the realization of this project having been envisaged as preparatory work for the submission of an
Artificial Intelligence-Based Scoring Functions for Polypharmacology Prediction – POLYPHAI
PubChem and ChEMBL are well-known public repositories which provide valuable experimental data for predicting a molecule’s potential in polypharmacology, a concept reflecting its ability to simultaneously interact with two or more targets. These databases have been leveraged by artificial intelligen
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
Articulate anything – ARTANY
The Articulator Anything project aims to reconstruct the three-dimensional dynamic evolution of the vocal tract for any language and any speaker. It falls within the field of articulatory synthesis, modeling and simulating the physical process of human speech production using advanced artificial int
Technologies, (Dis)-intermediation and Financial Transaction Monitoring – MonFinTech
The project MonFinTech aims at understanding how Artificial Intelligence (AI) and the blockchain technology will transform financial transaction monitoring. Firms and consumers can use financial systems to process illegal transactions: tax evasion, purchasing of illegal products or services, and mon
Phase Optics Microscopy Artificial Intelligence for Fertility – PHAIFER
The developmental potential of the oocyte depends largely on the quality of its cytoplasm. Female fertility is at threat in our societies, as women tend to postpone childbearing. Millions of couples around the world use assisted reproduction (ART) to conceive. Subjective morphological criteria are c
Computational Learning for Efficient and Accurate Reconstruction in Microscopy – CLEAR-Microscopy
Microscopic imaging is a key technology for our understanding of molecular and cellular processes. In recent years, artificial intelligence (AI) has emerged as a promising tool to revolutionize this field. It currently dominates the academic image reconstruction challenges and begins to appear in co
Combining AI and MC Simulations for Real-Time Quantification of DNA Damage Response to Ionizing Radiation – ARSINOE
The ARSINOE project represents a significant advancement in the field of radiation therapy planning, leveraging artificial intelligence (AI) to optimize the treatment process. By integrating AI into Monte Carlo (MC) simulations, ARSINOE aims to predict the biological consequences of ionizing radiati
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
AI-Driven Work Transformations in Creative and Cultural Industries – AI-CCI
In the contemporary landscape, characterized by the emergence of cutting-edge generative artificial intelligence, there is a growing apprehension regarding the impact of these technologies on the quality of work. The International Labour Organization (Gmyrek et al., 2023) issues a cautionary note, h
