In a world where our feeds decide what we see, think, and even believe, books still hold the power to surprise us in ways no algorithm can. Non-fiction does more than inform; it awakens. These books ...

Silicon anxiety, power shifts and human identity collide in books that examine how artificial intelligence is already ...

I’ve been waiting for good book that introduces the concepts of data science and machine learning for a lay audience. There’s so much being reported on these subjects nowadays that I’m sure many ...

In this important book, Simons provides one of the best accounts of how advances in artificial intelligence challenge democracy and what societies can do about it. Machine learning is as profound as ...

Filterworld — the addictive and stultifying algorithm-driven apocalypse that we are all, according to New Yorker writer Kyle Chayka, living through — began not with a big bang but with a chess match.

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...