Machine learning & AI
Researchers at the University of Tunis have recently proposed a new system for math formula script and type identification, which is based on convolutional neural networks (CNNs). Their method, presented in a paper published ...
Machine learning & AI
Two researchers at the University of St. Andrews, in Scotland, have recently developed a new machine learning-based method for understanding images of ancient coins. Their study, pre-published on arXiv applies computer vision ...
Robotics
To efficiently navigate their surrounding environments and complete missions, unmanned aerial systems (UASs) should be able to detect multiple objects in their surroundings and track their movements over time. So far, however, ...
Electronics & Semiconductors
Machine learning architectures based on convolutional neural networks (CNNs) have proved to be highly valuable for a wide range of applications, ranging from computer vision to the analysis of images and the processing or ...
Electronics & Semiconductors
Efficiently processing broadband signals using convolutional neural networks (CNNs) could enhance the performance of machine learning tools for a wide range of real-time applications, including image recognition, remote sensing ...
Computer Sciences
Researchers from the Embedded Systems and Robotics group at TCS Research & Innovation have recently developed a two-view depth network to infer depth and ego-motion from consecutive monocular sequences. Their approach, presented ...
Computer Sciences
Artificial intelligence (AI) contributes significantly to good in the world. From reducing pollution to making roads safer with self-driving cars to enabling better healthcare through medical big-data analysis, AI still has ...
Jul 28, 2020
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Computer Sciences
Researchers at Università Politecnica delle Marche, Queen Mary University of London and the Alan Turing Institute have recently collaborated on a research project aimed at identifying beehive states using machine learning. ...
Machine learning & AI
MIT researchers have devised a method for assessing how robust machine-learning models known as neural networks are for various tasks, by detecting when the models make mistakes they shouldn't.
May 10, 2019
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Computer Sciences
Carnegie Mellon University computer scientists have taken a deep learning method that has revolutionized face recognition and other image-based applications in recent years and redirected its power to explore the relationship ...
Dec 10, 2019
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