WayPtNav: A new approach for robot navigation in novel environments

Researchers at UC Berkeley and Facebook AI Research have recently developed a new approach for robot navigation in unknown environments. Their approach, presented in a paper pre-published on arXiv, combines model-based control ...

Machine learning & AI

A CNN-based method for math formula script and type identification

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

A new method for understanding ancient coin images

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 ...

Computer Sciences

DeepCrack: a new hierarchical CNN-based method for crack segmentation

Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, ...

Computer Sciences

Distilled 3-D (D3D) networks for video action recognition

A team of researchers at Google, the University of Michigan and Princeton University have recently developed a new method for video action recognition. Video action recognition entails identifying particular actions performed ...

Computer Sciences

A new approximate computing approach using CNNs

Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a ...

Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

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