Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
A database of 2.75 billion buildings could help scientists to monitor urban planning, climate change, disaster risks and even ...
Hidden in city car parks or warehouses, smart greenhouses promise to bring farming back to the city. But can these technology ...
An MIT survey of 2,000+ logistics leaders shows rapid automation and AI adoption, 2-3 year payback periods and rising demand ...
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