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Computation

Known as: Computations, Machine processing, Computational 
Computation is any type of calculation that follows a well-defined model understood and expressed as, for example, an algorithm. The study of… Expand
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A New Kind of ScienceAction selectionActor modelAnalog computer
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Broader (1)

Theoretical computer science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
A survey on graph kernels
Graph kernels have become an established and widely-used technique for solving classification tasks on graphs. This survey gives… Expand
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Review
2020
Review
2020
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
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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Review
2020
Review
2020
Adversarial Attacks on Deep-learning Models in Natural Language Processing
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant… Expand
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Review
2019
Review
2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
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
Seamless Scene Segmentation
In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation… Expand
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Review
2019
Review
2019
Applications , Promises , and Pitfalls of Deep Learning for Fluorescence Image Reconstruction
Deep Learning is a recent and important addition to the computational toolbox available for image reconstruction in fluorescence… Expand
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Review
2019
Review
2019
A survey and critique of multiagent deep reinforcement learning
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the… Expand
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Review
2019
Review
2019
Surrogate Gradient Learning in Spiking Neural Networks
Spiking neural networks are nature's versatile solution to fault-tolerant and energy efficient signal processing. To translate… Expand
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Review
2019
Review
2019
Structure prediction drives materials discovery
Progress in the discovery of new materials has been accelerated by the development of reliable quantum-mechanical approaches to… Expand
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Review
2018
Review
2018
A review on recent heat transfer studies to supercritical pressure water in channels
Abstract Recent studies on heat transfer to super-critical water (SCW) in tubes, annuli and rod bundles have been reviewed in… Expand
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