Machine learning & AI
ETH researchers are using artificial intelligence to improve quality management in digital production processes. The team has succeeded in halving the proportion of defective products in an experiment with the semiconductor ...
Dec 15, 2021
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49
Engineering
A team at Sandia National Laboratories has completed a series of tests on specially designed stainless-steel containers used by the Department of Energy for storage and transportation of hazardous materials.
Nov 16, 2021
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4
Robotics
Northwestern University engineers have added a new capability to electronic microchips: flight.
Sep 22, 2021
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Energy & Green Tech
When smoke from fires darken the skies as they did last summer, hunkering down indoors makes good sense. But on most days throughout the year, the air we breathe indoors carries far more pollutants than outdoor air. Exposure ...
Aug 11, 2021
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37
Electronics & Semiconductors
Cunjiang Yu, Bill D. Cook Associate Professor of Mechanical Engineering at the University of Houston, is reporting the development of a camera with a curvy, adaptable imaging sensor that could improve image quality in endoscopes, ...
Jun 28, 2021
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15
Machine learning & AI
Magnetic resonance imaging (MRI) is a non-invasive diagnostic tool used to detect and evaluate brain disease, musculoskeletal damage, cardiovascular disease and cancer. Though MRI has many advantages over other medical imaging ...
Jun 21, 2021
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25
Engineering
Additive manufacturing offers an unprecedented level of design flexibility and expanded functionality, but the quality and process can drastically differ across production machines, according to Hui Yang, a professor of industrial ...
Jun 17, 2021
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8
Engineering
As the 2022 Beijing Winter Olympic Games are approaching, it's a high priority to guarantee the water quality of Guanting Reservoir, one of the water resources of the Games.
May 18, 2021
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6
We all know that water quality is very important when it comes to public health.
May 13, 2021
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4
Computer Sciences
In recent years, models based on deep neural networks have achieved remarkable results on numerous tasks. Despite their high prediction accuracy, these models are known for their "black-box" nature, which essentially means ...
