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The training team at the Hanford Site’s Waste Treatment and Immobilization Plant (WTP) recently added an extra level of realism to employee trainings by upgrading classrooms and adding new props, acco...
Decentralized optimization algorithms save remarkable communication overheads in distributed deep learning since each node averages locally with neighbors. The network topology connecting all nodes de...
Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable...
Westinghouse Electric Company, Spanish engineering firm Tecnatom and US consulting and training services provider Accelerant Solutions have agreed to form the Nuclear Excellence Academy (NEXA), a nucl...
Research reactors are powerful tools. They help countries carry out scientific research, education and training while also producing vital neutrons for use in medicine, agriculture and industry. Befor...
Packaging is the final step in the process for manufacturing a semiconductor device. A critical tool for packing is the die bonder, which facilitates device assembly typically by attaching a chip in a...
Let’s say you wanted to build the world’s best stair-climbing robot. You’d need to optimize for both the brain and the body, perhaps by giving the bot some high-tech legs and feet, coupled with a powe...
With almost half of the developing world turning ‘urban’, it becomes a major challenge for the local self-governments to assure availability and accessibility of basic infrastructural facilities to ci...
Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly i...
There is an increasing amount of open Earth observation (EO) data available, offering solutions to map, assess and monitor natural resources and to obtain answers to global and local societal challeng...
Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on...
Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they ...
A team of researchers from the University of California, Berkeley, the University of California, Davis and the Texas Advanced Computing Center (TACC) published the results of an effort to harness the ...
Background: Despite its known detrimental effects, iron deficiency remains the most common micronutrient deficiency in the world. Many interventions that aim to improve iron status involve physically ...
From midlife, a progressive decline in muscle mass occurs, which is an independent risk factor for disability among elderly people (1). This natural process of biological aging can be either worsened ...

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