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Apple allows publicity, transparency for in-house researchers with new Machine Learning Journal

Apple has launched a new machine learning sub-site written by Apple engineers discussing techniques in use for better results and to assist burgeoning developers in the field.




The site went live on Wednesday morning, with the first post, "Improving the Realism of Synthetic Images" discussing neural net training with collated images. The first piece uses the example of eyes and gazes as an example of a data set where a large array of training information is needed, but the difficulty of collecting said data could stand in the way of efficient machine learning.

Apple is inviting machine learning researchers, students, engineers and developers to contact Apple with questions and feedback on the program.

The site appears to be part of Apple's promise to allow researchers to publish what they discover and discuss what they are working on with academia at-large. The sea change in Apple's policies was announced in December by Apple Director of Artificial Intelligence Research Russ Salakhutdinov.

Apple has found it historically difficult to recruit top minds in Artificial Intelligence, as the company's stance on preventing researchers from sharing findings, as well as the company's consumer privacy policies hindering product development has caused problems for researchers.

Beyond Siri, Apple appears to be branching out into other avenues of artificial intelligence and machine learning. In an interview in August, Apple CEO Tim Cook called AI one of Apple's core technologies for the future.