Machine learning & AI
Scientists from Salk Institute (U.S.), Skoltech (Russia), and the Riken Center for Brain Science (Japan) investigated a theoretical model of how populations of neurons in the visual cortex of the brain may recognize and process ...
Mar 2, 2020
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Engineering
Sandia National Laboratories manager Joel Wirth, a mechanical engineer by training, studied a problem with his car. The weight was too far back, making the car fishtail whenever he drove it faster than 200 mph.
Mar 2, 2020
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Computer Sciences
Natural phenomena and biological mechanisms can be great sources of inspiration for scientists developing mathematical approaches, computer systems and robots. Over the past few decades, research has repeatedly proved the ...
Energy & Green Tech
Traditional solar modules convert light to electricity using photovoltaic (PV) cells on the top side of the panels. Now, National Renewable Energy Laboratory (NREL) researchers are shining a light on what lies beneath.
Mar 2, 2020
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Business
Surprising news recently emerged from the personal genetics business. The two leading direct-to-consumer companies in North America, 23andMe and Ancestry.com, announced within a week of each other that they were laying off ...
Mar 2, 2020
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Internet
In the wake of a disaster or crisis, people turn to trusted sources for information.
Mar 2, 2020
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Energy & Green Tech
In 2003, when the Institute of Electrical and Electronics Engineers (IEEE) first drafted standards around distributed energy resources (DERs) connecting with the grid, solar power capacity was less than 1% of its current ...
Mar 2, 2020
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Security
You'd thinking flying in a plane would be more dangerous than driving a car. In reality it's much safer, partly because the aviation industry is heavily regulated.
Mar 2, 2020
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Electronics & Semiconductors
A practical method for mapping the flow of a current in devices with complex geometries that could be used to optimize circuit design has been developed at KAUST.
Mar 2, 2020
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Computer Sciences
Introductory statistics courses teach us that, when fitting a model to some data, we should have more data than free parameters to avoid the danger of overfitting—fitting noisy data too closely, and thereby failing to fit ...
Mar 2, 2020
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