photos iconBack in October, Apple published its first research paper related to artificial intelligence and machine learning.

The paper, titled "Learning from Simulated and Unsupervised Images through Adversarial Training," focused on advanced image recognition techniques and the use of both simulated and real images to train an advanced AI image program.

Apple's research paper was accepted to the 2017 Conference on Computer Vision and Pattern Recognition (CVPR) back in July, and as it turns out, Apple's work won a "CVPR 2017 Best Paper Award," coveted in the machine learning field.

MacRumors reader Tom, who holds a PhD in the field, says that CVPR is the most influential AI/machine learning conference, and that winning the award is a rare achievement "even for the top people in the field."

The paper was written by Apple researchers Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, and Russell Webb.

In addition to publishing research papers, Apple's AI and machine learning teams now maintain a Machine Learning Journal, detailing the work of Apple's engineers. The blog was just updated this week with articles that were shared at Interspeech 2017 in Stockholm, Sweden.

Thanks, Tom!

Top Rated Comments

Kaibelf Avatar
48 months ago
Congrats to the engineers for their innovative research being recognized! It’s not always the flashiest work, and they deserve kudos for their efforts.
Score: 16 Votes (Like | Disagree)
djcerla Avatar
48 months ago
And ironically, Siri still sucks after all these years! Why is Google's AI still light years ahead with the brain power behind Apples AI?
Seriously, it is infuriating to no end when I ask Siri for some info and it comes back with the wrong info, doesn't record what I said correctly or just gives me a search page. Meanwhile, Google gets it right every time!
Google is not "light years ahead", by any stretch of imagination.

Google's AI sucks just as Apple's, they're both pathetic building blocks for way more intelligent systems.

For example, while Google's AI may have an edge in some scenarios, there's no such thing as a Google Assistant in Italian whereas I use Siri in that language every day since years.

And the fact that the first Apple's paper has won that all-important competition is a sign that the company is moving in the right direction, and will have the academic cachet to attract top talent in the field.
Score: 13 Votes (Like | Disagree)
Lloydbm41 Avatar
48 months ago
And ironically, Siri still sucks after all these years! Why is Google's AI still light years ahead with the brain power behind Apples AI?
Seriously, it is infuriating to no end when I ask Siri for some info and it comes back with the wrong info, doesn't record what I said correctly or just gives me a search page. Meanwhile, Google gets it right every time!
Score: 9 Votes (Like | Disagree)
pika2000 Avatar
48 months ago
This is all well and good and I suppose of interest to anyone in the field, but the average Apple user wants to know how any new information or methods presented here will benefit them.
The average seemingly Apple "user" here only wants iPhones without bezels and how to get torrents on their iPads.

/s
Score: 5 Votes (Like | Disagree)
Zirel Avatar
48 months ago
And ironically, Siri still sucks after all these years! Why is Google's AI still light years ahead with the brain power behind Apples AI?
Seriously, it is infuriating to no end when I ask Siri for some info and it comes back with the wrong info, doesn't record what I said correctly or just gives me a search page. Meanwhile, Google gets it right every time!

[doublepost=1503740813][/doublepost]
Because they buy technology when it comes to major changes instead of coming up with them in house. They have lots of great ideas and patches, but rarely seem to be able to bring a broad new idea to market as a complete product without some acquisitions.
Are you talking about Apple or Google?
Score: 5 Votes (Like | Disagree)
Zedcars Avatar
48 months ago
Research presentation by Ashish Shrivastava (July 2017):

Score: 5 Votes (Like | Disagree)

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