Specifically, the researchers' machine learning approach, called an actor-model framework, was especially good at finding a "sweet spot" for image contrast. Ghezzi uses Photoshop as an example.

Apple’s machine learning (ML) teams have released a new ML framework for Apple Silicon: MLX, or ML Explore arrives after being tested over the summer and is now available through GitHub.

Awni Hannun, a machine learning researcher with Apple, tweeted that MLX Data is a “framework agnostic, efficient, and flexible package for data loading” and works with MLX, PyTorch, or Jax ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Don’t ask me what any of this means, but it might be of interest for some of you real Mac users. Apple has released MLX, “an array framework for machine learning on Apple silicon, brought to ...