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How AI and Machine Learning Work at Apple

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Re: How AI and Machine Learning Work at Apple

#51

Post by emehrkay »

starchild3001 wrote: post #37
emehrkay wrote: post #30

Off topic a bit, but this article makes me wonder where does one start with Deep/Machine Learning/AI? I've seen a few posts the past few days talking about the topic (Deep Learning with Python, etc.), but what are the core requirements regarding math, statistics, programming, etc? Where should a web developer start?

Check out the stanfard MOOC class taught by Andrew Ng... that's where most people (I know of) started. https://www.google.com/search?client=safari&rls=en&q=Andrew+... Web developer to ML? Doable but you may have to work harder than some other folks have a background in statistics, probability, signal processing etc. Plus, you don't have to be an algorithms developer... doing the backend, compute cluster is hugely val…

Thank you, I actually just found him on Coursera(https://www.coursera.org/learn/machine-learning) before your reply. I will definitely check it out.

I don't think that I want to make the switch, just know what is what and dabble a little bit.

Re: How AI and Machine Learning Work at Apple

#52

Post by gpmcadam »

dstaten wrote: post #10

siri has gotten worse over time, or at least that's why friends and i have noticed

Siri is now a term used by Apple to cover many virtual assistant applications, not just the conversational side of things. The article goes in depth about things such as Siri Suggestions and pro-active notifications based on patterns and context.

Re: How AI and Machine Learning Work at Apple

#53

Post by sangnoir »

throwanem wrote: post #12

I like how Apple can't win here. If they publish, they aren't doing anything new and they haven't innovated since Steve died, and they should really just give up because there's obviously no point to anything they do and hasn't been since 1997. If they don't publish, they're evil secretive bastards who don't contribute to the ML community and probably drown puppies or something because who knows what goes on behind c…

> I like how Apple can't win here.

They have themselves to blame, at least partially since they painted themselves into a corner. A while back they went on a media offensive proclaiming how "data-mining" the user's information is bad, and they won't stand for it in the interest of privacy... As it turns out, reality is a little more nuanced, and a bit of applied AI is in fact good for the user experience. e.g. your phone can't tell you were you parked your car unless it knows your location, and when you stopped driving.

I see this article as Apple PR rolling back on the previous position which inadvertently made Apple look like a company being overtaken by recent technological developments.

Re: How AI and Machine Learning Work at Apple

#54

Post by ThomPete »

throwanem wrote: post #12

I like how Apple can't win here. If they publish, they aren't doing anything new and they haven't innovated since Steve died, and they should really just give up because there's obviously no point to anything they do and hasn't been since 1997. If they don't publish, they're evil secretive bastards who don't contribute to the ML community and probably drown puppies or something because who knows what goes on behind c…

There is only one way to win and that is to publish. Innovation in this field doesn't happen in a vacuum but by multiple simpler components combine in ever more emerging complexity.

Re: How AI and Machine Learning Work at Apple

#55

Post by oldmanjay »

soperj wrote: post #49
k-mcgrady wrote: post #33

Earlier quoted context omitted.

>> "If they were serious, they'd provide objective evidence for their claims." Why do they need to? At the end of the day all that matters is that the products they ship are good and aren't lacking compared to competitors. The only reason they would provide evidence for what they claim other than that is to appease people calling bullshit and unless it's effecting sales no company should stoop to that.

A lot of their products are lacking though. Maps is awful. So is Safari.

That's a fairly strange reason to question their machine learning claims

Re: How AI and Machine Learning Work at Apple

#57

Post by atonse »

sangnoir wrote: post #53
throwanem wrote: post #12

I like how Apple can't win here. If they publish, they aren't doing anything new and they haven't innovated since Steve died, and they should really just give up because there's obviously no point to anything they do and hasn't been since 1997. If they don't publish, they're evil secretive bastards who don't contribute to the ML community and probably drown puppies or something because who knows what goes on behind c…

> I like how Apple can't win here. They have themselves to blame, at least partially since they painted themselves into a corner. A while back they went on a media offensive proclaiming how "data-mining" the user's information is bad, and they won't stand for it in the interest of privacy... As it turns out, reality is a little more nuanced, and a bit of applied AI is in fact good for the user experience. e.g. your p…

I'm not so sure you actually read the article.

It explicitly talks about how they've accomplished a lot of this without violating their users' privacy. And that the fact that they deny AI researchers big hoards of data, hurts their reputation in the AI community, because most AI researchers want mountains of data.

Re: How AI and Machine Learning Work at Apple

#58

Post by c0g »

soperj wrote: post #49
k-mcgrady wrote: post #33

Earlier quoted context omitted.

>> "If they were serious, they'd provide objective evidence for their claims." Why do they need to? At the end of the day all that matters is that the products they ship are good and aren't lacking compared to competitors. The only reason they would provide evidence for what they claim other than that is to appease people calling bullshit and unless it's effecting sales no company should stoop to that.

A lot of their products are lacking though. Maps is awful. So is Safari.

Apart from traffic data, where Google is slightly better, maps has been fine for me on ios9 and is better on 10. Apple even learned from the errors they made with the initial launch and have these big open betas for a reason.

Safari is perfect for my use cases. Way better battery life, feels lighter than chrome, etc, etc.

What exactly in your opinion is worse about modern safari and maps that makes a worse experience for the user?

Re: How AI and Machine Learning Work at Apple

#59

Post by throwanem »

ThomPete wrote: post #54
throwanem wrote: post #12

I like how Apple can't win here. If they publish, they aren't doing anything new and they haven't innovated since Steve died, and they should really just give up because there's obviously no point to anything they do and hasn't been since 1997. If they don't publish, they're evil secretive bastards who don't contribute to the ML community and probably drown puppies or something because who knows what goes on behind c…

There is only one way to win and that is to publish. Innovation in this field doesn't happen in a vacuum but by multiple simpler components combine in ever more emerging complexity.

Perhaps they seek to win a game other than the one you have in mind.

Re: How AI and Machine Learning Work at Apple

#60

Post by k-mcgrady »

soperj wrote: post #49
k-mcgrady wrote: post #33

Earlier quoted context omitted.

>> "If they were serious, they'd provide objective evidence for their claims." Why do they need to? At the end of the day all that matters is that the products they ship are good and aren't lacking compared to competitors. The only reason they would provide evidence for what they claim other than that is to appease people calling bullshit and unless it's effecting sales no company should stoop to that.

A lot of their products are lacking though. Maps is awful. So is Safari.

Safari is my browser of choice and I have no issues with it (I much prefer it over Chrome). Maps has occasional issues but it's a solid product now. I use it for walking and transit directions and can't remember the last time I had to fall back on Google Maps.
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