The consumer technology giant debuted Wednesday a website that highlights the company’s various AI-related research projects. Named the Apple Machine Learning Journal, the tech giant is pitching it as a way for people to read about the work of its various engineers working on cutting-edge AI techniques like deep learning.

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Ruslan Salakhutdinov, Apple’s director of AI research, announced the debut of the website via Twitter. Apple hired Salakhutdinov, who is also a Carnegie Mellon University associate professor specializing in machine learning, in October amid an increasing push by big tech companies like Google that are hiring AI experts from academia.

Very excited for the launch of Apple’s Machine Learning blog: https://t.co/SLDpnhwgT5. Check it out!

— Russ Salakhutdinov (@rsalakhu) July 19, 2017

Apple currently lists only one research project on the new website that appears to be a re-written version of a research paper published in fall. Unlike the original research paper, Apple has removed the names of the researchers who worked on the paper for the revised version now posted on the Apple Machine Learning Journal.

The website’s first post shows how Apple is researching how to teach computers to recognize faces by “training” them on images of computer-generated faces rather than pictures of actual human faces. Apple, which has stricter user privacy rules than companies like Google and Facebook, could benefit from this research if it could create AI systems do not require as much personal data for training.

With the new website, Apple joins other big tech companies like Google (GOOG), Facebook (FB), and Microsoft (MSFT) that maintain blogs highlighting how they are researching or using AI technologies in their products.

Besides functioning as a way to publicly demonstrate that these companies are using cutting-edge tech, these research blogs also function as recruiting tools for machine-learning specialists.