Computer Sciences
Humans regularly tackle and solve a variety of complex visuospatial problems. In contrast, most machine learning and computer vision techniques developed so far are designed to solve individual tasks, rather than applying ...
Oct 23, 2020 feature
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67
Electronics & Semiconductors
Researchers at Nanyang Technological University and University of Technology Sydney have recently developed a machine learning architecture that can recognize human gestures by analyzing images captured by stretchable strain ...
Jul 14, 2020 feature
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289
Computer Sciences
The ability to estimate the physical properties of objects is of key importance for robots, as it allows them to interact more effectively with their surrounding environment. In recent years, many robotics researchers have ...
May 25, 2020 feature
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81
Robotics
Nature is one of the most valuable sources of inspiration for researchers developing new robots and computational techniques. For instance, in recent years, research teams worldwide have tried to artificially replicate the ...
May 05, 2020 feature
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174
Computer Sciences
Micro aerial vehicles (MAVs) could have numerous useful applications, for instance, assisting humans in completing warehouse inventories or search and rescue missions. While many companies worldwide have already started producing ...
Mar 26, 2020 feature
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84
Robotics
Recent advancements in robotics have enabled the development of systems to assist humans in a variety of tasks. A type of robotic system that has gained substantial popularity over the past few years is wearable robotic arms ...
Sep 03, 2019 feature
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117
Machine learning & AI
In recent years, researchers have been trying to make artificial intelligence (AI) more transparent by developing algorithms that can explain their actions and behavior, as this could encourage greater trust in machines and ...
Apr 19, 2019 feature
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68
Machine learning & AI
Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...
Apr 08, 2019 feature
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35
Computer Sciences
Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on arXiv, will be presented ...
Mar 20, 2019 feature
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95
Computer Sciences
Perceiving an object only visually (e.g. on a screen) or only by touching it, can sometimes limit what we are able to infer about it. Human beings, however, have the innate ability to integrate visual and tactile stimuli, ...
Mar 05, 2019 feature
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