Results 11 to 20 of about 9,393,805 (363)
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Archives of Computational Methods in Engineering, 2023 Symbolic regression (SR) is a machine learning-based regression method based on genetic programming principles that integrates techniques and processes from heterogeneous scientific fields and is capable of providing analytical equations purely from data.
D. Angelis, F. Sofos, T. Karakasidis
semanticscholar +1 more source
From laboratory bench to benchmark: technology transfer in laboratory medicine [PDF]
, 2020 Background: Life Sciences research, enhancing the occurrence of innovation, is able to impact clinical decision-making, both at diagnosis and therapy. Indeed, starting from the knowledge of specific needs and of technical-scientific demands, researchers ...
Cariati, Federica +3 more
core +1 more source
ENGINEERING STAFF TRAINING WITH CONSIDERATION OF MODERN ECONOMIC SCIENCE ACHIEVEMENTS
Образование и наука, 2017 Introduction. Achievements in various fields of modern science have an impact not only on the development of science itself, but also on the formation of human capital, including training of technical personnel needed for the transition to an information
G. P. Litvintseva +2 more
doaj +1 more source
Pavel Șciusev – academician, inginer în construcția podurilor [PDF]
Dialogica: Revistă de Studii Culturale și LiteraturăThis article presents the results of research on unpublished archival documents and those housed in the National Museum of History of Moldova, introduced for the first time into the scientific circuit or addressed by our predecessors in a different ...
Anatolie POVESTCA
doaj +1 more source
Aldo Sošić PhD in Technical Sciences
Kartografija i Geoinformacije, 2012 Aldo Sošić defended his dissertation titled Cartography of Istria with Special Emphasis on Cartographic Expression at the Faculty of Civil and Geodetic Engineering of the University of Ljubljana on November 15, 2012.
Stanislav Frangeš
doaj +1 more source
Solving Quantitative Reasoning Problems with Language Models [PDF]
Neural Information Processing Systems, 2022 Language models have achieved remarkable performance on a wide range of tasks that require natural language understanding. Nevertheless, state-of-the-art models have generally struggled with tasks that require quantitative reasoning, such as solving ...
Aitor Lewkowycz +13 more
semanticscholar +1 more source
COVID-19 and the policy sciences: initial reactions and perspectives
Policy sciences, 2020 The world is in the grip of a crisis that stands unprecedented in living memory. The COVID-19 pandemic is urgent, global in scale, and massive in impacts. Following Harold D.
C. Weible +9 more
semanticscholar +1 more source
Probing the order parameter symmetry in the cuprate high temperature superconductors by SQUID microscopy [PDF]
, 2010 The orbital component of the order parameter in the cuprate high-Tc cuprate superconductors is now well established, in large part because of phase sensitive tests. Although it would be desirable to use such tests on other unconventional superconductors,
Anderson +79 more
core +2 more sources
Mechatronic Education at the Faculty of Technical Sciences Novi Sad
, 2015 The emerging engineering field of mechatronics has caught the attention of many engineering professionals, academics and government officials in recent years, nationally and globally.
G. Ostojić +4 more
semanticscholar +1 more source