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When lightning strikes: Models of multi-ignition wildfires could predict catastrophic events
Multi-ignition wildfires are not overly common. But when individual fires do converge, the consequences can be catastrophic.
Multi-ignition wildfires are not overly common. But when individual fires do converge, the consequences can be catastrophic.
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Most of a building’s carbon pollution doesn’t come from construction., instead it builds up quietly during decades of daily ...
Learn how financial modeling projects future performance and supports strategic planning with essential components like ...
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Q&A: Will self-driving cars reduce traffic injuries? Researchers examine promising data
Driverless vehicles haven't yet taken to Canadian roads, but they've already rolled out in some other countries. Proponents ...
Hyperscalers, AI firms, cloud providers, and data center operators are pushing for data centers to be operational in 12 to 14 ...
Small changes in diet, exercise and sleep may extend life by a year when put into practice together, while making larger ...
Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...
Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...
Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
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