Anthropic's Project Panama involved cutting and scanning millions of books for AI training. This method aimed for speed and ...

Algorithm is a word that we often hear in conversations, especially when we talk about computers. In mathematics, it is basically a method which helps you solve a problem or equation. But this word is ...

Abstract: This paper proposes a computer-aided collaborative text recognition algorithm for Chinese ancient books, utilizing synergistic techniques in layout analysis and text recognition to ...

Personal recommendations continue to drive book discovery more than algorithms, social media, and other digital tools, according to the 2026 State of Reading Report released today by Everand and Fable ...

“It’s all about the texture,” says the author of “The Life-Changing Magic of Tidying Up” and the new “Letter From Japan.” Both fit the bill. Credit...Rebecca Clarke Supported by In an email interview, ...

In David Adjmi’s stage play STEREOPHONIC, the frayed, fragile (and fictional but very recognisable) band members of a transatlantic rock band have spent over one year desperately trying to lay down ...

Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it. Katelyn is a writer with CNET covering artificial ...

Facebook is trying to help you see Reels you're actually interested in, rather than random videos. The algorithm update will prioritize newer content, showing you 50% more Reels that were posted on ...

An exclusive excerpt from Every Screen On The Planet reveals how the social media app’s powerful recommendation engine was shaped by a bunch of ordinary, twentysomething curators—including a guy named ...

With 9 in 10 children in low-income countries unable to read by age 10, Luminos' book proves—through a decade of evidence and experience—that the most marginalized children can catch up fast NEW YORK, ...

Behavioral economics has struggled to simultaneously accommodate two facts: (i) people make mistakes, even on very consequential decisions; and (ii) different people have different preferences. Doing ...

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