Results 21 to 30 of about 8,287,486 (375)
Can Large Language Models Transform Computational Social Science? [PDF]
International Conference on Computational Logic, 2023 Large language models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and political ideology ...
Caleb Ziems +5 more
semanticscholar +1 more source
Computational Molecular Science for the Nutritional Industry
CHIMIA, 2005 The implementation of quantitative models of real phenomena that are evolved on computational devices has become a common practice in science and engineering in the last 50 years.
Martin G. Grigorov
doaj +3 more sources
What Do We (Not) Know About Research Software Engineering?
Journal of Open Research Software, 2022 As recognition of the vital importance of software for contemporary research is increasing, Research Software Engineering (RSE) is emerging as a discipline in its own right.
Anna-Lena Lamprecht +15 more
doaj +1 more source
International Journal on Advanced Science, Engineering and Information Technology, 2022 Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or social. Generally, it depends on socioeconomic capabilities.
Nasution, Mahyuddin K. M. +2 more
openaire +3 more sources
Increasing resolution in stress neurobiology: from single cells to complex group behaviors
Stress, 2023 Stress can have severe psychological and physiological consequences. Thus, inappropriate regulation of the stress response is linked to the etiology of mood and anxiety disorders.
Lucas Miranda +3 more
doaj +1 more source
Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration
Frontiers in Bioinformatics, 2022 With an increase in subject knowledge expertise required to solve specific biological questions, experts from different fields need to collaborate to address increasingly complex issues. To successfully collaborate, everyone involved in the collaboration
Anjalie Schlaeppi +10 more
doaj +1 more source
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering [PDF]
Works, 2019 Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of data, scientists' expertise, tools, and workflows.
Renan Souza +12 more
semanticscholar +1 more source
Computational Science-based Research on Dark Matter at KISTI [PDF]
Journal of Astronomy and Space Sciences, 2017 The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space.
Kihyeon Cho
doaj +1 more source
Machine-Learning Methods for Computational Science and Engineering
De Computis, 2020 The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
M. Frank, D. Drikakis, V. Charissis
semanticscholar +1 more source
Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges [PDF]
, 2014 Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other ...
Bredereck, Robert +5 more
core +6 more sources