Why do you need "AI" that recognizes faces on a consumer laptop. You're going to point your laptop camera at people until you get arrested or something?
First, it wasn't actually doing face recognition. However, let's say it was.
You incorrectly assume the only video it would use for this is what's being captured live from its camera, but what if you're in a video conference with one or more rooms full of people at the other end. Using face recognition, software could label people as they speak, so that you could know their identities.
Another example might be watching a movie or show on your laptop, and you'd like to pause it and see annotations of the actors playing the characters on screen (or the names of the characters, themselves!). Player software could scrape the credits off IMDB or the streaming provider and then use face recognition to match up the faces on screen with the actors listed in the credits.
Or, maybe you'd like to know what kind of car or motorcycle is shown in a film or photo. Similar techniques could be used to match and label the correct model.
You're just not thinking creatively enough.
To do it
well, you do.
Background separation boils down to image segmentation, which is a classic computer vision problem. AI-based methods can far outperform conventional techniques.
We've been able to blur a background for years without "AI chips".
edit
There's a
big difference between
sort of being able to do something and being able to do it
well.
So, what about speech recognition & synthesis?
I worked at Lernout & Hauspie for a while.
Not as a researcher, you didn't. If you had, you'd know that deep learning has revolutionized speech recognition.
This tech is what Alexa, Siri and Cortana is still using today.
No. Back when Amazon started the Alexa project,
deep field speech recognition could not be done. They had to lure some of the best researchers in the world and
invent the tech.
But what if I just want the computer to do what I tell it to do, not what it thinks I want it to do?
A lot of AI applications are just sophisticated pattern-recognition problems. Like finding cancerous tumors in X-ray photos, or maybe matching a disease diagnosis and treatment regimen with a set of lab results and symptoms.
People have too narrow a definition of "AI". It's not all like
J.A.R.V.I.S. or
M3GAN. Have you seen Stable Diffusion or Deep Fakes?
Yes, a "buzzword". And it'll continue to be that at least until we normal individuals are benefited directly from this technology.
You
are benefiting. You just aren't necessarily aware of when this tech is being used under the hood.
A lot of people wouldn't agree that Siri or Alexa are gimmicky.
Okay, it can speed up the process of chip design, but do you see it in effect? Are CPUs and GPUs getting cheaper? No. Actually, the opposite.
You're not comparing against the scenario in which it wasn't used. You can't see how much performance, efficiency, time-to-market, or cost is improved through its use. You just blindly assume it's not being used or that its use is entirely optional and inconsequential.
Companies and entire industries don't usually do things that are inconsequential. Businesses operate based on cost and competitiveness. Things which don't yield improvements on at least one of those axis don't tend to catch on.
You might assume that because chips used to be designed using schematics, that we don't need modern EDA tools. However, the chips which exist today
cannot be designed by schematic! EDA was a huge enabler for larger, more complex integrated circuits.
it only benefits those businessmen to increase their profits, no real benefit for the consumer, till now.
When corporate finances falter, products get cancelled or scaled back. Ultimately, business performance
does matter to consumers.
For now, AI is still a wounded dog. AI chips are there because there is so much potential, but still it's not there. Yes, it looks promising and potentially life-changing, but hey, let's be honest, at the moment we still don't feel the impact, it will only get overhyped more over the time for its potential, but it is far from being here, and not ready yet to help us become better as human beings.
The problem with AI vs. some other revolutionary technologies (e.g. cellphones, the internet), is that you can't externally see that it's being used. That's why you believe it's not benefiting you.
If you want to remain ignorant, that's certainly your right. If not, there's a wealth of information on problems that either defied conventional solutions or have been much better addressed using deep learning. You need only look.
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