Inside Mars, a ‘rocky road’ mantle reveals a violent past
Science & Technology

Inside Mars, a ‘rocky road’ mantle reveals a violent past

A giant collision in Mars’ early history created a global magma ocean and buried large fragments of debris deep within the young planet. As Mars cooled, it formed a solid crust — eventually becoming a stagnant lid that trapped heat and slowed the planet’s internal motion. Credit: Vadim Sadovski / Imperial College London Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday.Don’t let the appetizing description fool you. When planetary scientists say the interior of Mars resembles a rocky road brownie more than a piece of buttery shortbread, the tasty metaphor masks billions of years of geological violence. In a re-examination of previous observations collected by NASA’s decommissioned InSight probe, researchers have discovered that the Martian mantle is embedded with ancient fragments measuring as much as 2.5 miles wide. The...
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AL AKHAWAYN University: Closing of the 3rd edition of the School of Summer on AI
Science & Technology

AL AKHAWAYN University: Closing of the 3rd edition of the School of Summer on AI

In a statement to the map, Wrong Al Majiddean of the School of Science and Engineering has University of Akhaownwelcomed the holding of this third edition of The School of Summer in Artificial Intelligence At the AUI, an initiative launched, he said, three years earlier and concentrated in its beginnings on AI techniques and the modalities of its teaching. He stressed that The Summer School is now focused on the future and is trying to reflect on the ethical challenges of artificial intelligence by promoting concerted work of the new generation on different AI aspects. ...
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AI spies questionable science journals, with some human help
Science & Technology

AI spies questionable science journals, with some human help

About 1,000 of a set of 15,000 open access scientific journals appear to exist mainly to extract fees from naive academics. A trio of computer scientists from the University of Colorado Boulder, Syracuse University, and China's Eastern Institute of Technology (EIT) arrived at this figure after building a machine learning classifier to help identify "questionable" journals and then conducting a human review of the results – because AI falls short on its own. A questionable journal is one that violates best practices and has low editorial standards, existing mainly to coax academics into paying high fees to have their work appear in a publication that fails to provide expected editorial review. As detailed in a research paper published in Science Advances, "Estimating the predictability of questionable open-access journals," scientific journals prior to the 1990s...
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