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Questions tagged [google]

For questions related to Google in the context of AI (e.g. related to Google Translate). Google is an American multinational technology company specializing in internet-related services and products.

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3
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2answers
59 views

How is the reCaptcha useful for Google?

I am wondering where Google uses the result from deep learning of reCaptcha (how can a system that knows to recognize street signs is useful somewhere? how they profit from it?)
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1answer
35 views

Would you term Google's Captchas as Turing Test?

Quoting from Wikipedia page on Turing Test The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable ...
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0answers
68 views

BERT intermediate layer utility

I'm looking for the BERT model you can find here. As I look to the attention mechanism, I don't understand why in the BERT encoder we have an intermediate layer between the attention and neural ...
0
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0answers
25 views

AdaNet vs Google AutoML

What are main differences between these 2? I understand that AutoML has a GUI and is cloud served, yet under the hood how do they work in terms of transfer learning, hyper parameter choice, ...
1
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2answers
110 views

Why can't we use Google Translate AI for everything?

Once a book is published in a language, why can't the publishers use Google Translate AI or some similar software to immediately render the book in other languages? Likewise for Wikipedia: I'm not ...
2
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2answers
992 views

What models is Google's quick draw using?

Quick draw is a Google experiment using user generated online doodles and machine learning to play a game of "Guess what I'm drawing" similar to the board game Pictionary. I'm interested if anyone ...
1
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0answers
26 views

Difference in trained models between GCP's Google Vision and Firebase's ML kit?

Anyone here know if the image-recognition/text-recognition/etc features of Google Vision API use the same trained models as the image-recognition/text-recognition/etc of Firebase's ML kit? If they don'...
3
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2answers
104 views

Google's Principles of Artificial Intelligence

Earlier this month, Google released a set of principles governing their AI development initiatives. The stated principles are: Objectives for AI Applications: Be socially beneficial. ...
0
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2answers
232 views

Interested in what Google AI can do. Know nothing about AI at all

Trying to figure out what Google is offering in the article at this link https://www.nytimes.com/2018/01/17/technology/google-sells-ai.html. I also need to know if their offerings are limited to ...
5
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2answers
165 views

Why is it illegal for Google's autonomous car to drive on the road by itself?

If we have well designed autonomous AI vehicles, then why won't the USA government allow it to be witnessed in the public?
5
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1answer
500 views

Who manufactures Google's Tensor Processing Units?

Does google manufacture TPUs? I know that google engineers are the ones responsible for the design, and that google is the one using them, but which company is responsible for the actual manufacturing ...
3
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1answer
147 views

Why do self-driving cars use a radar?

The slideshow 10 astonishing technologies that power google’s self-driving cars documents some of the technologies used in Google's self-driving car. It mentions a radar. Why does Google use radar? ...
19
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1answer
602 views

Would Google's self-driving-car stop when it sees somebody with a T-shirt with a stop sign printed on it?

In Hidden Obstacles for Google’s Self-Driving Cars article we can read that: Google’s cars can detect and respond to stop signs that aren’t on its map, a feature that was introduced to deal with ...
3
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1answer
424 views

How does Google's self-driving car identify pedestrians?

Based on the article Google's self-driving cars can now spot cyclists: Sensors can read hand signals and predict rider's behaviour, Google's self-driving cars can spot cyclists, cars, road signs, ...
3
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1answer
253 views

How do Google cars recognize the traffic signs?

The paper Multi-column Deep Neural Networks for Image Classification (pages 7-8) shows an attempt at recognizing the traffic signs, with lower error rates, by using multi-column deep neural networks. ...