ASU scientists harness the trial-and-error power of evolution to coax nature into revealing answer to energy challenge

Whether or not society shakes its addiction to oil and gasoline will depend on a number of profound environmental, geopolitical and societal factors.

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Researchers from Universidad Politécnica de Madrid suggest a new methodology to assess the environmental impact of the containers used for the collection of urban waste.

An inappropriate design of a container system might unnecessarily aggravate the impact on environment when collecting and transporting the urban waste. This is the major conclusion of a team of researchers from Universidad Politécnica de Madrid after carrying out a systematic evaluation process of the urban containerization system.

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Two NASA satellites provided a look at the Northwestern Pacific Ocean's latest tropical storm from outside and inside. NASA-NOAA's Suomi NPP satellite provided an outside look at Nanmadol when it's maximum sustained winds peaked, and the GPM Core satellite provided an inside look at the rainfall within the storm.

Before consolidating into the fifth depression of the Northwestern Pacific Ocean's hurricane season, Nanmadol was a low pressure system designated System 99W. That low pressure area developed and was renamed Nanmadol on July 2.

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Researchers from James Cook University and the Université catholique de Louvain, Louvain-la-Neuve, Belgiumsay unprecedented oceanographic conditions in 2016 produced the perfect storm of factors that lead to a mass coral bleaching.

JCU’s Professor Eric Wolanski said even in very warm years with a summer el Nino event, such as 1998, there was no massive coral bleaching in the Torres Strait and only small to moderate bleaching in the northern Great Barrier Reef.

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The chips in most modern desktop computers have four “cores,” or processing units, which can run different computational tasks in parallel. But the chips of the future could have dozens or even hundreds of cores, and taking advantage of all that parallelism is a stiff challenge.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory have developed a new system that not only makes parallel programs run much more efficiently but also makes them easier to code.

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