jax-js is a JavaScript library that brings JAX-style machine learning capabilities to the browser. It allows users to perform high-performance numerical computations using familiar NumPy-like syntax and runs entirely client-side. The framework supports GPU acceleration through WebGPU and offers features like automatic differentiation and JIT compilation.

A machine learning framework for Node.js, called node-mlx, is introduced, which offers support for various platforms and includes features for training models, handling embeddings, and implementing large language models. It provides JavaScript APIs that mirror Python's MLX, with some limitations and differences due to JavaScript's characteristics. The project is still in development, providing opportunities for contributions and sponsorship.