Computer Sciences
A team of researchers at Stanford University has recently developed a CNN classification method to colorize grayscale images. The tool they devised, called ColorUNet, draws inspiration from U-Net, a fully convolutional network ...
Nov 16, 2018 feature
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72
Computer Sciences
As most real-world environments are three-dimensional, deep learning models designed to analyze videos or complete tasks in real-world environments should ideally be trained on 3-D data. Technological tools such as robots, ...
Dec 02, 2019 feature
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207
Computer Sciences
New adversarial techniques developed by engineers at Southwest Research Institute can make objects "invisible" to image detection systems that use deep-learning algorithms. These techniques can also trick systems into thinking ...
Apr 04, 2019
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452
Computer Sciences
Deep learning algorithms have proved to be promising tools to tackle a variety of real-world problems, especially those that require the analysis of vast amounts of data. In contrast with other computational techniques, in ...
Dec 07, 2020 feature
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225
Computer Sciences
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was pre-published on arXiv, ...
Aug 17, 2018 feature
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195
Computer Sciences
A new deep-learning model can learn to identify diseases from medical scans faster and more accurately, according to new research by a team of University of Alberta computing scientists and the U of A spinoff company MEDO. ...
May 28, 2021
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25
Computer Sciences
(Tech Xplore)—Even top players of the video game Super Smash Bros. have to take a back seat to AI, according to latest reports.
Feb 28, 2017 weblog
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33
Security
To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.
Nov 23, 2021
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161
Computer Sciences
We've all shared the frustration—software updates that are intended to make our applications run faster inadvertently end up doing just the opposite. These bugs, dubbed in the computer science field as performance regressions, ...
Feb 11, 2020
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57
Computer Sciences
Researchers at the University of Lorraine have recently devised a new type of transfer learning based on model-free deep reinforcement learning with continuous sensorimotor space enlargement. Their approach, presented in ...
Oct 10, 2018 feature
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