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view articleOura users' data is not end-to-end encrypted and can be handed to the government. Will the wearable tech maker say how often it turns over data?
If you have ever tried to minimize a function with gradient descent, you probably noticed that some functions are a joy to optimize and others are a nightmare. The difference often boils down to two properties: strong convexity and L-smoothness. These two concepts define a “sandwich” of quadratic bounds around your function that tells you exactly how well-behaved it is. If the sandwich is tight, life is good. If one slice of bread is missing, things get ugly fast.
A description of HRW/rendezvous hashing and the HRW elixir library.
On reading Terry Pratchett at sixteen, in the back of a French classroom, and a sentence that has been kicking over the furniture in my head ever since.
The FPUT problem, chaos theory, and the rise of nonlinear dynamics—how Los Alamos scientists changed how we understand complex systems.
US tech firms share Dutch regulator officials’ names with senate
The internal logic of the world’s strangest corporations
Build non-destructive image pipelines with 79 composable nodes. One graph produces every color variant, every format, every export, automatically. Free native desktop app for Windows, macOS, and Linux.
Thousands of Microsoft developers will use GitHub Copilot CLI instead
Contribute to amatsuda/rubish development by creating an account on GitHub.
Plus: Google publishes a live exploit for an unpatched flaw, the feds arrest two men accused of creating thousands of nonconsensual deepfake nudes, and more.