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  1. Attività

European Lighthouse of AI for Sustainability (ELIAS)

Progetto
We live in a crucial historical moment, with tremendous challenges ahead, from climate change to the energy crisis. ELIAS emerges from the belief that AI will be a key discipline to help us tackle these challenges. At the same time, the development of AI entails deep ethical and societal concerns that need to be addressed. As for fundamental research, ELIAS will address key scientific questions about how AI can reduce computational costs, serves to model effects of policy decisions on society, and impacts individuals. ELIAS will strive for a deep integration of the fundamental research that takes place in academia and the more applications-focused research from industry. ELIAS builds on and expands the highly successful and internationally recognized European Laboratory for Learning and Intelligent Systems (ELLIS). ELIAS will further develop the excellence criteria and the pillars in ELLIS and implement actions that will support AI researchers and young talents at different stages of their careers. Furthermore, ELIAS will develop a Sciencentrepreneurship track, with the purpose of attracting and empowering talents at the interface of scientific innovation and business and establish original AI solutions that move towards a sustainable long-term future for our planet, contribute to a cohesive society, and respect individual rights. The outcome of ELIAS will be to establish Europe as a leader in AI research in which impact on the environment, society and the individual are integral considerations during development. We will measure the success of this endeavor in terms of key indicators, including the number of new cross-institutional collaborations, the number of cross-disciplinary collaborations, the number of industry- academic partnerships, publications in top conferences and journals, patents, and the number of projects that have resulted in deployed technologies.
  • Dati Generali
  • Aree Di Ricerca
  • Pubblicazioni

Dati Generali

Partecipanti

CESA BIANCHI NICOLO' ANTONIO   Responsabile scientifico  

Dipartimenti coinvolti

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Tipo

Horizon Europe Global Challenge-RIA/IA/CSA

Finanziatore

EUROPEAN COMMISSION
Organizzazione Esterna Ente Finanziatore

Capofila

UNIVERSITA' DEGLI STUDI DI TRENTO

Periodo di attività

Settembre 1, 2023 - Agosto 31, 2027

Durata progetto

48 mesi

Aree Di Ricerca

Settori


Settore INF/01 - Informatica

Pubblicazioni

Pubblicazioni (4)

A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs 
JOURNAL OF MACHINE LEARNING RESEARCH
MIT PRESS
2025
Articolo
Open Access
Margin-based active learning of classifiers 
JOURNAL OF MACHINE LEARNING RESEARCH
MICROTOME PUBLISHING
2024
Articolo
Open Access
A Theory of Interpretable Approximations 
PROCEEDINGS OF MACHINE LEARNING RESEARCH
PMLR
2024
Contributo in Atti di convegno
Open Access
Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees 
PROCEEDINGS OF MACHINE LEARNING RESEARCH
ML RESEARCH PRESS
2024
Contributo in Atti di convegno
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Realizzato con VIVO | Progettato da Cineca | 25.11.5.0