In an X-note, Awni Hannun, of Apple’s ML team, calls the software: “…an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!)” The idea is that it ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

As artificial intelligence (AI) takes centre-stage across companies, Apple's machine learning research team has released ...

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Anisha Jadhav's SPX framework revolutionizes Agile story point estimation. This AI breakthrough, published by IEEE, offers ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...