The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

An open letter from authors including Lauren Groff, Lev Grossman, R.F. Kuang, Dennis Lehane, and Geoffrey Maguire calls on ...

In the EliteBook X G1a, HP at long last listens to our endless keyboard gripe—and challenges Lenovo for the title of best ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

It "represents theoretical math that could’ve been done decades ago" - but it has big implications for the future.

In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in ...

Search the Wayback Machine. An illustration of a magnifying glass. Mobile Apps. Wayback Machine (iOS) Wayback ... The vocabulary book : learning & instruction by Graves, Michael F. Publication date ...

Books help explain ML in depth, better than short tutorials. The right book depends on goals—coding, theory, or business use. Reading multiple books gives a fuller understanding of machine learning.

Zachary Knepp, assistant professor of chemistry, spoke on electrochemistry; Dan Lu, associate professor of renewable energy engineering, spoke on machine learning; and Kun Wang, assistant professor of ...

The beautiful, freedom-infused meaning of wealth inequality came to mind while reading Stephen Witt’s new book, The Thinking Machine: Jensen Huang, Nvidia, and the World’s Most Coveted ...