AI News, Benedict Evans
- On Thursday, October 4, 2018
- By Read More
As a team at a major US media company said to me a while ago: 'well, we know we can use ML to index ten years of video of our talent interviewing athletes - but what do we look for?’
This means that image sensors (and microphones) become a whole new input mechanism - less a ‘camera’ than a new, powerful and flexible sensor that generates a stream of (potentially) machine-readable data.
I met a company recently that supplies seats to the car industry, which has put a neural network on a cheap DSP chip with a cheap smartphone image sensor, to detect whether there’s a wrinkle in the fabric (we should expect all sorts of similar uses for machine learning in very small, cheap widgets, doing just one thing, as described here).
A ten year old could sort them into men and women, a fifteen year old into cool and uncool and an intern could say ‘this one’s really interesting’.
It might never get to the intern.But what would you do if you had a million fifteen year olds to look at your data?What calls would you listen to, what images would you look at, and what file transfers or credit card payments would you inspect?
Where this metaphor breaks down (as all metaphors do) is in the sense that in some fields, machine learning can not just find things we can already recognize, but find things that humans can’t recognize, or find levels of pattern, inference or implication that no ten year old (or 50 year old) would recognize.
That is, this not so much a thousand interns as one intern that’s very very fast, and you give your intern 10 million images and they come back and say ‘it’s a funny thing, but when I looked at the third million images, this pattern really started coming out’.
Equally, the only reason we’re talking about autonomous cars and mixed reality is because machine learning (probably) enables them - ML offers a path for cars to work out what’s around them and what human drivers might be going to do, and offers mixed reality a way to work out what I should be seeing, if I’m looking though a pair of glasses that could show anything.
But after we’ve talked about wrinkles in fabric or sentiment analysis in the call center, these companies tend to sit back and ask, ‘well, what else?’ What are the other things that this will enable, and what are the unknown unknowns that it will find?
- On Tuesday, March 26, 2019
Eminem - Lucky You ft. Joyner Lucas
From the album Kamikaze, out now:
13 Unbelievable Coincidences That Will Leave You Confused
Do you believe that people can foresee the future? Is time travel possible? Do you know that there are many things that cannot be explained? Life sometimes ...
10 Surprisingly High Paying Jobs
We did the math on the grunt-to-grat ratio for you, with 10 jobs you wouldn't expect to be well-paying, and the details on what it takes to land the position, in this ...
Home Dialysis Machine Gives Patients More Freedom
B-Roll Video Footage: Fresenius Medical Care dialysis patients and staff discuss dialysis treatment at home using the Liberty(R) Cycler machine. (Video: ...
How Search Works
| The life span of a Google query is less then 1/2 second, and involves quite a few steps before you see the most ..
Lil Dicky - $ave Dat Money feat. Fetty Wap and Rich Homie Quan (Official Music Video)
Latest video off of Lil Dicky's debut album "Professional Rapper." Download the album here: Watch Lil Dicky create the most epic ..
9 Awesome Science Tricks Using Static Electricity!
Add me on Facebook. (click the LIKE button on Facebook to add me) Music in the video are songs I created. Song #1: Over ..
KIDS REACT TO OLD COMPUTERS
Thanks to our friends at "Halt and Catch Fire"! Check it out! Premieres June 1st, Sundays 10/9c on AMC Old ..
Looks aren't everything. Believe me, I'm a model. | Cameron Russell
Cameron Russell admits she won "a genetic lottery": she's tall, pretty and an underwear model. But don't judge her by her looks. In this fearless talk, she takes a ...
Tips to arouse her and make her want you!
Click below to find out more about Residential Training Tips to arouse her and make her want you Hi guys ..