Results 11 to 20 of about 1,068,320 (275)
Computer science: The learning machines [PDF]
Nature, 2014 Using massive amounts of data to recognize photos and speech, deep-learning computers are taking a big step towards true artificial intelligence.
N.B. Jones
openalex +3 more sources
Machine learning, meaning making: On reading computer science texts
Big Data & Society, 2023 Computer science tends to foreclose the reading of its texts by social science and humanities scholars – via code and scale, mathematics, black box opacities, secret or proprietary models. Yet, when computer science papers are read in order to better understand what machine learning means for societies, a form of reading is brought to bear that is not
Louise Amoore +3 more
openalex +6 more sources
Utilizing machine learning algorithms in computer science for drug repurposing
International Journal of Engineering in Computer Science, 2021 Niela Rambocas, Claire B. Joseph
openalex +3 more sources
Machine-Learning Methods for Computational Science and Engineering [PDF]
Computation, 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. In this paper, we provide a review of the state-of-the-art in ML for computational science and engineering.
Michael Frank +2 more
openaire +6 more sources
Introducing Computer Science Unplugged in Pakistan: A Machine Learning Approach [PDF]
Education Sciences, 2023 Introducing computational thinking at elementary school can develop students’ capabilities and interest in Computing skills. In this study, we introduced the Computer Science unplugged (CS-unplugged) technique in Pakistan. We use paper-based activities to equip students with basic Computer Science skills without introducing any programming language ...
Seema Jehan, Pakeeza Akram
openalex +3 more sources
International Conference on Intelligent and Innovative Computing Applications, 2022 Based on LinkedIn poll results, professionals from non-computer science backgrounds have developed an interest in data science and most intend to enter the field through Machine Learning, but do not know where to start (Webb et al., 2021) The aim of this study is to introduce an ideal systematic approach and workflow to get started with Machine ...
Malusi Sibiya, Elisha Didam Markus
openalex +3 more sources
PLOS ONE, 2021 Searching for new high temperature superconductors has long been a key research issue. Fe-based superconductors attract researchers’ attention due to their high transition temperature, strong irreversibility field, and excellent crystallographic symmetry.
Zhiyuan Hu
openalex +5 more sources
Categorisation of Computer Science Research Papers using Supervised Machine Learning Techniques [PDF]
International Journal of Computing and Digital Systems, 2020 Hemrajsingh Gheeseewan +1 more
openalex +2 more sources
Perspective on integrating machine learning into computational chemistry and materials science [PDF]
The Journal of Chemical Physics, 2021 Machine learning (ML) methods are being used in almost every conceivable area of electronic structure theory and molecular simulation. In particular, ML has become firmly established in the construction of high-dimensional interatomic potentials. Not a day goes by without another proof of principle being published on how ML methods can represent and ...
Julia Westermayr +3 more
openaire +4 more sources
Researcher reasoning meets computational capacity: Machine learning for social science
Social Science Research, 2022 Computational power and big data have created new opportunities to explore and understand the social world. A special synergy is possible when social scientists combine human attention to certain aspects of the problem with the power of algorithms to automate other aspects of the problem. We review selected exemplary applications where machine learning
Ian Lundberg +2 more
openaire +4 more sources