Remote work is no longer a pandemic experiment. It is now a permanent part of how the global job market operates. There are now three times more remote jobs available in 2026 than back in 2020 in the ...

This summer, Johns Hopkins will host a graduate student fellowship designed to prepare emerging data scientists to leverage the latest developments in generative artificial intelligence and machine ...

SpaceX's planned IPO expected to develop space AI data centre buildout China's plans for space tourism signal a shift in space ambitions China's new spaceflight academy aims to foster talent for deep ...

The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to argue for the intellectual superiority of white people. Credit...Ben Denzer ...

This Pew Research Center report looks at Americans’ views on scientists and scientific research. Why did we do this? Pew Research Center does research to help the public, media and decision-makers ...

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The editors of Scientific American look to 2026 as a chance to peer into the future to see what science may be unfolding and what discoveries may lurk on the horizon. But the new year is also a chance ...

This coal plant in central Pennsylvania, once the largest in the state, was shuttered in 2023 after powering the region for over 50 years. Earlier this year, wrecking crews blasted the plant’s cooling ...

The University of Houston will launch a Ph.D. in Statistics and Data Science next fall, a major milestone that positions UH to meet the soaring demand for critical expertise in data and artificial ...

President Linda Mills formally announced the creation of NYU’s Courant Institute School of Mathematics, Computing, and Data Science, a school aimed at building on NYU’s efforts to prepare students for ...

The amount of capital pouring into AI data center projects is staggering. Last week, Microsoft, Alphabet, Meta, and Amazon reported their 2025 capital expenditures would total roughly $370 billion, ...

Most scientific data never fuel the discoveries they should. For every 100 datasets created, around 80 remain in the lab, 20 are shared but rarely reused, fewer than two meet FAIR standards, and only ...