Physics Of Data Unipd
09/06/2023
A magnifying glass to elucidate their rise in photovoltaics: atomistic simulations of organic halide perovskites
Date: June 20, 2023 - at 11.00 AM (Italian time)
Where: Aula P1A, Complesso Paolotti, Via Giambattista Belzoni 7, 35131, Padova
Conference speaker: Virginia Carnevali
Information: https://www.aisociety-unipd.it/2023/06/07/a-magnifying-glass-to-elucidate-their-rise-in-photovoltaics-atomistic-simulations-of-organic-halide-perovskites/
22/05/2023
Innovator Talk - Seminar series
Before and after chatGPT: chances, changes, and opportunities of large language models in research
May 23, 2023 - h. 16.30 (Italian time) -
at AULA B Dipartimento di Fisica e Astronomia
Speakers:
Dirk Hovy, Professor at Bocconi’s department of computing sciences in Milan and director of the Data
and Marketing Insight research unit at the Bocconi Center for Data Science and Analytics.
Andrea Pin, Full Professor of Comparative Public Law, University of Padova.
15/11/2022
Scientific Talk - Seminar series
Title: The pervasive polarization induced by social media and the "echo chamber effecs” and its impact on Supreme and Constitutional Courts across the globe.
November 18, 2022 - from 3.00 PM to 4.30 PM (Italian time) -
at AULA B Dipartimento di Fisica e Astronomia "Galilei" - DFA - Unipd
Via Paolotti 9, 35131, Padova
Speaker:
Moshe Cohen-Eliya is full professor of constitutional law at and the former President (2015- 2022) of the College of Law and Business (CLB), Israel. He is a council member of the International Society of Public Law (ICON-S), the founder of the Israeli chapter of ICON-S, and the founding editor-in-chief of the law journal Law and Ethics of Human Rights. He is an expert in comparative constitutional law. His publications include “Proportionality and Constitutional Culture ” (CUP, 2013, with Iddo Porat) and articles in the American Journal of Comparative Law, International Journal of Constitutional Law, and University of Toronto Law Journal.
08/08/2022
Track 6: Machine Learning and Industrial Application
Read the details on the website http://physicsofdata.dfa.unipd.it/study-plan/track-6-machine-learning-and-industrial-application/
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