Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

Physical AI is not merely a product feature. It is an architectural shift. When intelligence lives next to the phenomenon it observes, we gain what the cloud alone cannot consistently provide: low ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.

Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...