Today, I get to start a train trip I've always wanted to do: Going from New York to San Francisco!!

Giving a Voice to the Voiceless

Researchers hope to uncover how people died and how diseases have developed over 1,000 years

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Enthusiasm can be a productive force for good, but our culture has rapidly become a fan-based landscape that the rest of us are merely living in

An unknown work in the composer’s hand has emerged in a New York museum, the first such find in more than a half century. The pianist Lang Lang plays it here.

Similar to how Mastodon offers an open source, distributed version of X, the fediverse is getting its own TikTok competitor. This week, an app called

During a visit to Beijing many years ago, I was having lunch with three PhD students in the Chinese Department at Peking University, all of whom were native

Documents show that in the '60s, the sugar industry funded Harvard researchers who, examining risk factors of heart disease, dismissed concerns about sugar and doubled down on the dangers of fat.

:arrow_double_down: Dumb downloader that scrapes the web - soimort/you-get

Too much stuff in the periphery of our vision can make it difficult to identify what we’re seeing. Yale researchers now know how that clutter affects the brain.

Learning is a consequence of doing

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi...

Zero, which was invented late in history, is special among numbers. New studies are uncovering how the brain creates something out of nothing.

I’ve been having problems for the last 3 years or so where Mess With DNS periodically runs out of memory and gets OOM killed.

A special edition of London Centric looking at what's gone wrong at Transport for London — and whether the disaster recovery is as positive as they say.

The mother of a 14-year-old Florida boy says he became obsessed with a chatbot on Character.AI before his death.

Nobel Prize winner Geoffrey Hinton said that machine learning would outperform radiologists within five years. That was eight years ago. Now, thanks in part to doomers, we’re facing a historic labor shortage.