Is the scientific method really the best approach to learning about the world? A new paper in Collective Intelligence applies the scientific method to itself, finding that some common strategies that ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
Researchers use mini plasma explosions to encode the equivalent of two million books into a coaster-sized device. The method ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
The middle of the road reveals itself not as balance, but as a gentle slope toward the rationalized management of social life.
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Historian Philip Decker, mathematician Victor Geadah, computer scientist Sayash Kapoor, and literary scholar Eliana Rozinov are this year’s Porter Ogden Jacobus Fellows.
In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...
Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...
Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...
Eight University of Chicago scholars have earned Sloan Research Fellowships, which recognize early-career scholars’ potential to make substantial contributions to their fields.