Computer Sciences
Neural networks, which learn to perform computational tasks by analyzing huge sets of training data, have been responsible for the most impressive recent advances in artificial intelligence, including speech-recognition and ...
Dec 11, 2017
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37
Computer Sciences
From phone camera snapshots to lifesaving medical scans, digital images play an important role in the way humans communicate information. But digital images are subject to a range of imperfections such as blurriness, grainy ...
Dec 5, 2017
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694
Robotics
No crystal ball is needed to envision a future that engineers have in mind, one in which air taxis and other flying vehicles ferry passengers between urban locations, avoiding the growing gridlock on the ground below. Companies ...
Apr 24, 2024
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106
Computer Sciences
Johns Hopkins researchers have developed an efficient new method to turn blurry images into clear, sharp ones. Called Progressively Deblurring Radiance Field (PDRF), this approach deblurs images 15 times faster than previous ...
Mar 18, 2024
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40
Hi Tech & Innovation
Imagine performing a sweep around an object with your smartphone and getting a realistic, fully editable 3D model that you can view from any angle. This is fast becoming reality, thanks to advances in AI.
Mar 12, 2024
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28
Hardware
While most computing in the world is still digital, the data around us is captured in analog via sensors–images through cameras, temperature, and sound, for example, and has to be converted into a digital form for precision. ...
Mar 12, 2024
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69
Hi Tech & Innovation
AI systems, such as GPT-4, can now learn and use human language, but they learn from astronomical amounts of language input—much more than children receive when learning how to understand and speak a language. The best ...
Feb 1, 2024
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27
Hi Tech & Innovation
Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, reverse-engineering how artificial ...
Jan 3, 2024
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61
Computer Sciences
EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.
Dec 7, 2023
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101
Machine learning & AI
Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system—in much the same way that the human brain has to develop and operate within physical and biological constraints—allows ...
Nov 20, 2023
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