Results 51 to 60 of about 10,369,018 (353)
Scaling deep learning for materials discovery
Nature, 2023 Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing^ 1 – 11 . From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottlenecked by ...
Amil Merchant +5 more
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Quantum Information and Computation, 2016 In recent years, deep learning has had a profound impact on machine learning and artificial intelligence. At the same time, algorithms for quantum computers have been shown to efficiently solve some problems that are intractable on conventional, classical computers.
Wiebe, Nathan +2 more
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, 2020 Deep learning models have had a great success in disease classifications using large data pools of skin cancer images or lung X-rays. However, data scarcity has been the roadblock of applying deep learning models directly on prostate multiparametric MRI (
Carver, Eric +11 more
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Deep learning approach to scalable imaging through scattering media [PDF]
, 2019 We propose a deep learning technique to exploit “deep speckle correlations”. Our work paves the way to a highly scalable deep learning approach for imaging through scattering media.Published ...
Li, Yunzhe, Tian, Lei, Xue, Yujia
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Energy and Policy Considerations for Deep Learning in NLP [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 Recent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data. These models have obtained notable gains in accuracy across many NLP tasks.
Emma Strubell +2 more
semanticscholar +1 more source
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016 Developers often wonder how to implement a certain functionality (e.g., how to parse XML files) using APIs. Obtaining an API usage sequence based on an API-related natural language query is very helpful in this regard. Given a query, existing approaches utilize information retrieval models to search for matching API sequences.
Gu, Xiaodong +3 more
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IEEE Access, 2020 A Steel Plate Rolling Mill (SPM) is a milling machine that uses rollers to press hot slab inputs to produce ferrous or non-ferrous metal plates. To produce high-quality steel plates, it is important to precisely detect and sense values of manufacturing ...
Cheol Young Park +3 more
doaj +1 more source
Optica, 2017 We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field-of-view and depth-of-field. After its training, the only input to this network is an image acquired using a regular optical microscope, without any changes to its design.
Yair Rivenson +5 more
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Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
IEEE Access, 2022 This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture ...
Roberto Castro +3 more
doaj +1 more source
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction [PDF]
, 2017 Deep learning has been shown to outperform traditional machine learning algorithms across a wide range of problem domains. However, current deep learning algorithms have been criticized as uninterpretable "black-boxes" which cannot explain their decision
Kumar, Devinder +2 more
core +3 more sources