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Apple Publishes Its First AI Research Paper (engadget.com)
When Apple said it would publish its artificial intelligence research, it raised at least a couple of big questions. When would we see the first paper? And would the public data be important, or would the company keep potential trade secrets close to the vest? At last, we have answers. Apple researchers have published their first AI paper, and the findings could clearly be useful for computer vision technology. From a report on Engadget: The paper tackles the problem of teaching AI to recognize objects using simulated images, which are easier to use than photos (since you don't need a human to tag items) but poor for adapting to real-world situations. The trick, Apple says, is to use the increasingly popular technique of pitting neural networks against each other: one network trains itself to improve the realism of simulated images (in this case, using photo examples) until they're good enough to fool a rival "discriminator" network. Ideally, this pre-training would save massive amounts of time and account for hard-to-predict situations that don't always turn up in photos.
Machine vision is weak AI by definition.
Enough said
This is great stuff indeed.
The likes of Microsoft, IBM, Google, and more publish amazing research every week. Apple rolls in with one fucking paper and the tech blogs are all covering it like breathless teenagers. Sometimes I really hate my industry.
Or it could lead one machine to create the dogbird while the other one is learning what a dogbird is and feed each other creating a new fascinating and entirely useless fantasy world.
Summary must be broken, because it reminds me of the man in the jungle who set his village clock by a distant cannon being fired everyday at noon. After a few years he met the man firing the cannon, and asked how he was so accurate. The man explained that he visited the village once a month and set his watch by the town clock. They were out by 2 hours, and had simply re-inforced smalled errors by copying each other.
Why exactly would this discriminator be more authoritative than the original neural net?
so Generative Adversarial Networks but with an Apple logo pasted on. -> News!
Apple wants to quickly identify products with rounded edges and no jacks so they can sue them for design infringement.
Table-ized A.I.
No that was you, last month on your freshman year term paper.
Did they just download an old MSResearch paper and scratch out "By Microsoft" and crayon "By Apple" over it?
No. They just got a pair of scissors and rounded the page corners. They just hope that everyone looks at the stylish paper and ignores the "By Microsoft".
If you want to build a higher life-form, don't be surprised when it makes you look stupid.
Did they just download an old MSResearch paper and scratch out "By Microsoft" and crayon "By Apple" over it?
No. They just got a pair of scissors and rounded the page corners. They just hope that everyone looks at the stylish paper and ignores the "By Microsoft".
I know humour is a big tradition around here but you guys should really consider getting some new jokes once in a while.
DERP!
Seriously? Is this another Indianism like always dropping definite article?
Confucius say, "Find worm in apple - bad. Find half a worm - worse."
And apples is thinner than the original document.