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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
In 2025, more than 420 bills were introduced to weaken public health measures for vaccines, milk safety, and fluoride. What ...
The United States is leaving some of the world’s oldest and most influential scientific networks involved in biodiversity ...
Citizen science platforms, including iNaturalist, are leading to major new discoveries and are becoming crucial to the work ...
The Hechinger Report highlights 11 statistics showing the Trump administration's significant impact on U.S. education ...
Understanding offline actions is particularly attractive to certain sectors, for instance QSR (fast food) brands, retail ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Congressional appropriators tossed aside the Trump administration’s requested cuts at NOAA, NIST, NSF and NASA in fiscal year ...
Fast Company Executive Board member Deepti Kunupudi highlights five key strategies for making AI governance an innovation ...
I have been writing about the Giant Magellan Telescope for a long time. Nearly two decades ago, for example, I wrote that ...
From the written to the visual, from much-maligned data-heavy PowerPoint presentations to humorous hooks, the author lays out ...
We can't get enough of our Suunto Vertical 2 — this rugged smartwatch has everything athletes and outdoor explorers may ever ...
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