A collaboration between BHP Group Limited (NYSE: BHP) and Microsoft has used artificial intelligence and machine learning with the aim of improving copper recovery at the world’s largest copper mine.
IFLScience on MSN
This brilliant map has 3D models of nearly every single building in the world - all 2.75 billion of them
Google Maps has got fresh competition. Using machine learning, computer engineers have developed an interactive map that ...
When it comes to global warming and greenhouse gases, methane is one of the bad guys. It's the second most important ...
ScienceAlert on MSN
Biggest Global Map of Its Kind Captures 2.75 Billion Buildings in 3D
Step aside, Google Maps; stand down, Apple Maps. Researchers from the Technical University of Munich (TUM) in Germany have ...
Researchers mapped exactly where buildings are in the world and how much space they take up. The result is a mind boggling ...
A database of 2.75 billion buildings could help scientists to monitor urban planning, climate change, disaster risks and even ...
The world is rapidly losing its water supply, according to the World Bank's Global Water Monitoring Report. This global report, titled Continental Drying, highlights the water crisis using ...
This story comes from our partner, 90.5 WESA. The team behind the pollution-monitoring tool Plume Pittsburgh is taking its models global. Carnegie Mellon University’s CREATE Lab partnered with the ...
BEIJING, Oct. 30, 2025 /PRNewswire/ -- The Annual Conference of Financial Street Forum 2025 kicked off here on Monday, bringing together participants from China and abroad to discuss ways to promote ...
Twenty-five years after its adoption, UN Resolution 1325 continues to influence global peacebuilding, emphasizing the essential role of women in achieving lasting peace. Twenty-five years ago, the ...
South Korea is nearing a decision on whether to allow Google and Apple to export high-resolution geographic map data to servers outside the country. The detailed maps, which use a 1:5,000 scale, would ...
ABSTRACT: Change-detection analysis highlighted significant declines in sparse forest (−72.88%) and wetlands (−73.49%), alongside a substantial increase in bare land (+55.26%). These trends underscore ...
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