turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
You check your credit score before applying for an apartment. Your fitness watch tells you whether you slept well enough. A workplace dashboard measures your productivity. Parents can buy devices that ...
Every time you scroll, like or share on a social media platform, an algorithm is watching, learning and deciding what you see next. But how many of us stop to think about what’s actually driving those ...
Social media algorithms shape what billions of people see every day, yet their real-world effects remain widely misunderstood. This article examines eighteen critical dimensions of algorithmic impact, ...
Scholar argues that anti-discrimination law alone cannot address bias hidden in algorithms. Algorithms also analyze and combine numerous data points in a way that can be difficult to untangle, making ...
This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
Abstract: The Python Testbed for Federated Learning Algorithms is a simple Python FL framework that is easy to use by ML&AI developers who do not need to be professional programmers and is also ...
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Young people with fewer financial resources, especially boys, are the most exposed to advertising about how to make easy money. So confirms a pioneering study by Pompeu Fabra University (UPF), which ...
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