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Machine learning

Known as: Adaptive machine learning, Statistical learning, Learning algorithms 
Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or… Expand
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Review
2020
Review
2020
IRS is a new and revolutionizing technology that is able to significantly improve the performance of wireless communication… Expand
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Review
2020
Review
2020
Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that… Expand
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2020
Review
2020
Deep learning has achieved remarkable success in diverse applications; however, its use in solving partial differential equations… Expand
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Review
2019
Review
2019
Today's AI still faces two major challenges. One is that in most industries, data exists in the form of isolated islands. The… Expand
Review
2019
Review
2019
This paper provides a comprehensive survey of Machine Learning Testing (ML testing) research. It covers 144 papers on testing… Expand
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Review
2019
Review
2019
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects can be empowered to create… Expand
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Review
2019
Review
2019
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand
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Review
2019
Review
2019
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments… Expand
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Review
2019
Review
2019
Hybrid quantum-classical systems make it possible to utilize existing quantum computers to their fullest extent. Within this… Expand
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