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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How does Google Maps pronounce streets properly?
How does Google Maps pronounce street names properly, or any maps platform for that matter?
Many words don't have straightforward pronunciations given the orthography/spelling, like "chabot (...
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Where is memory stored in a chatbot like LaMDA?
I have a basic understanding of how neural networks work, and I have always thought that those chatbots work in a similar way (but I might be wrong): they take an input, shape it in a way that can be ...
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Does this diagram represent several LSTMs, or one through several timesteps?
I'm trying to read this paper describing Google's LSTM architecture for machine translation. It features this diagram on page 4:
I'm interested in the encoder block, on the left. Apparently, the pink ...
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How did MuZero learn the rules of chess?
Google says that their new AI program MuZero learnt the rules of chess and some other board games without being told so. How is this even possible?
https://towardsdatascience.com/deepmind-unveils-...
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Can Google's patented ML algorithms be used commercially?
I just find that Google patents some of the widely used machine learning algorithms. For example:
System and method for addressing overfitting in a neural network (Dropout?)
Processing images using ...
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How to use TPU for real-time low-latency inference?
I use Google's Cloud TPU hardware extensively using Tensorflow for training models and inference, however, when I run inference I do it in large batches. The TPU takes about 3 minutes to warm up ...
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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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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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Google's Principles of Artificial Intelligence [closed]
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.
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What is an intuitive explanation of how Google's AutoML works?
I recently read that Google has developed a new AI that anyone can upload data to and it will instantly generate models, i.e. an image recognition model based on that data.
Can someone explain to me ...
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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?
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Who manufactures Google's Tensor Processing Units? [closed]
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 ...
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How does Google's search engine choose its autocomplete solution?
While writing a paper yesterday this strange thing happened to me. I was writing it in Word, and wasn't satisfied with the repeated usage of the word "release" in the last few sentences. So, ...
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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? ...
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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 ...
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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, ...
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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.
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