Machine learning & AI
In August 1955, a group of scientists made a funding request for US$13,500 to host a summer workshop at Dartmouth College, New Hampshire. The field they proposed to explore was artificial intelligence (AI).
Dec 22, 2022
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Robotics
A team of scientists at EPFL have built a new neural network system that can help understand how animals adapt their movement to changes in their own body and to create more powerful artificial intelligence systems.
Dec 6, 2022
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Machine learning & AI
Humans accomplish a phenomenal amount of tasks by combining pieces of information. We perceive objects by combining edges, categorize scenes by combining objects, interpret events by combining actions, and understand sentences ...
Nov 29, 2022
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Computer Sciences
NIALM (Non-Intrusive Appliance Load Monitoring) can "sense" appliances using electrical power. NIALM is used in homes and small buildings. For this, NIALM can require hundreds of labeled power signal images from each appliance ...
Nov 21, 2022
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Robotics
This little robot can go almost anywhere.
Nov 16, 2022
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113
Computer Sciences
With just a scan of your face and a little basic data, such as height and weight, mathematician Alessio Gallucci can produce a complete body scan. To improve the 3D analysis of our skin he used deep learning techniques. 3D ...
Oct 20, 2022
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Computer Sciences
Neural networks are learning algorithms that approximate the solution to a task by training with available data. However, it is usually unclear how exactly they accomplish this. Two young Basel physicists have now derived ...
Sep 30, 2022
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206
Engineering
Engineering researchers have some simple advice for people learning to ride hoverboards: it's all in the ankles.
Aug 8, 2022
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134
Engineering
Scientists at Osaka University have created a machine learning system that is capable of virtually removing buildings from a live view. By using generative adversarial networks (GAN) algorithms running on a remote server, ...
Aug 3, 2022
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Computer Sciences
Deep learning techniques have recently proved to be highly promising for detecting cybersecurity attacks and determining their nature. Concurrently, many cybercriminals have been devising new attacks aimed at interfering ...
