All the sessions from Transform 2021 are available on-demand now. Watch now.
Apple is lifting the veil on some of its work in the red-hot field of artificial intelligence.
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.
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, which appears to be a rewritten version of a research paper published in the 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 that do not require as much personal data for training.
With the new website, Apple joins other big tech companies like Google, Facebook, and Microsoft 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.
This story originally appeared on Fortune.com. Copyright 2017
VentureBeatVentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:
- up-to-date information on the subjects of interest to you
- our newsletters
- gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
- networking features, and more