Machine-training workarounds found to yield little advantage
An AI-infused future has tremendous promise in virtually all aspects of our lives from medicine to education, industry to finance.
An AI-infused future has tremendous promise in virtually all aspects of our lives from medicine to education, industry to finance.
AI is used in an array of useful applications, such as predicting a machine's lifetime through its vibrations, monitoring the cardiac activity of patients and incorporating facial recognition capabilities into video surveillance ...
Jun 17, 2021
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Producing infection control clothing requires a lot of energy and uses lots of material resources. Fraunhofer researchers have now developed a technology which helps to save materials and energy when producing nonwovens. ...
Dec 1, 2022
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Patterns appear in both natural and human made systems, but they can be difficult for humans to recognize and analyze, especially in dynamic systems like the human heart or factory machines. To address this issue, researchers ...
May 20, 2020
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Researchers at the Department of Energy's SLAC National Accelerator Laboratory have demonstrated a new approach to peer deeper into the complex behavior of materials. The team harnessed the power of machine learning to interpret ...
Oct 12, 2023
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A new deep-learning framework developed at the Department of Energy's Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while ...
Oct 14, 2022
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Rolling bearings are installed wherever something is in rotation. The wide range of applications extends from large wind turbines to small electric toothbrushes. These bearings, which consist of steel components, must be ...
Oct 4, 2023
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In image processing, computer graphics and photography, high dynamic range (or HDR) images are a set of techniques that allow a better dynamic range of luminance between lighter and darker areas in an image than can be achieved ...
Dec 20, 2019
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Face recognition technology emulates human performance and can even exceed it. And it is becoming increasingly more common for it to be used with cameras for real-time recognition, such as to unlock a smartphone or laptop, ...
Nov 13, 2023
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In a new paper published in eLight, a team of scientists led by Professor Bahram Jalali and graduate student Callen MacPhee from UCLA have developed a new algorithm for performing computational imaging tasks. The paper "VEViD: ...
Nov 8, 2022
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