Risultati di ricerca
10 ore fa · The GREAT team was present at Paris Saclay Spring 2024 on the HEC campus! We had the opportunity to exchange ideas with numerous players in innovation, research and technology. It was a day rich in encounters and discoveries, where we were able to share our ideas and projects with investors, researchers, entrepreneurs and R&D managers, all united to promote scientific and technological excellence.
10 ore fa · With the Euclid space telescope set to deliver a new batch of images on Thursday (May 23), we're looking back at the dark universe detective's achievements thus far.
10 ore fa · 45 Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191 Gif-sur-Yvette, France 46 INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy 47 Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Via Irnerio 46, 40126 Bologna, Italy
23 mag 2024 · Studies on gas system maintenance 10m. Speaker : Filippo Benazzo (Politecnico di Torino (IT)) 10:20 → 10:30. Analyses 10m. Speakers : Maria Cristina Arena (Pavia University and INFN (IT)), Mattia Verzeroli (Universite Claude Bernard Lyon I (FR)), Stefania-Alexandra Juks (Université Paris-Saclay (FR)) 10:30 → 10:40. LAB status 10m.
10 ore fa · The reforms were successful in placing some of the newly created multi-disciplinary French universities more visibly in global academic rankings, the most notable success being Paris-Saclay, which achieved the 14th rank in the 2020 edition of Shanghai ranking, as well as PSL and Sorbonne University, which entered the top 40 (Shanghai Ranking, 2020).
10 ore fa · Changed on 22/05/2024. The Inocs team is organizing the NETGCOOP 2024 conference at the Inria center at the University of Lille from October 9 to 11. The goal of the conference is to bring together researchers and practitioners from different areas of game theory, control, and optimization, with a special focus on their applications to network ...
10 ore fa · We extend recurrent neural networks to include several flexible timescales for each dimension of their output, which mechanically improves their abilities to account for processes with long memory or highly disparate timescales. We compare the ability of vanilla and extended long short-term memory networks (LSTMs) to predict the intraday volatility of a collection of equity indices known to ...
