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A thermal imaging system that uses machine learning to disentangle the information contained in infrared images has been unveiled by researchers at Purdue University in the US. Dubbed HADAR, the ...
A machine learning technique called PRIMO has sharpened the famous first-ever image of a black hole from 2019. Skip to main content.
The Race to Prevent ‘the Worst Case Scenario for Machine Learning’ A.I. companies have an edge in blocking the creation and distribution of child sexual abuse material. They’ve seen how ...
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AZoQuantum on MSNQuantum Machine Learning in Forensic and Medical ImagingIn Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...
Machine learning can be used to create a brutal foe. IBM’s Deep Blue and Google’s DeepMind AlphaStar have proven that. However, that isn’t always the desirable—not only because it raises ...
For the past 10 months, Amazon has been testing a machine learning software in space that can analyze Earth observation images on its own and send only the best ones to Earth.
The data were acquired at low-dose (372 electrons/pixel). The reconstructed image is now practically noise free and the true position of the atoms can be determined with enhanced precision. (Courtesy: ...
The iconic image of a supermassive black hole in the Messier 87 (M87) galaxy—described by astronomers as a "fuzzy orange donut"—was a stunning testament to the capabilities of the Event ...
Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and Machine Learning ...
The first picture image of the black hole at in the M87 galaxy was released in 2019. Thanks to machine-learning tech, we now have a clearer look. Hotspots ranked Start the day smarter ☀️ ...
More information: Yun-Fei Shi et al, Machine Learning for Chemistry: Basics and Applications, Engineering (2023). DOI: 10.1016/j.eng.2023.04.013 Provided by Engineering ...
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