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Google’s self-driving car most likely uses mapping of traffic signs using google street view images for roadway inventory management. If traffic signs are not in its database, it can still “see” and detect moving objects which can be distinguished from the presence of certain stationary objects, like traffic lights. So its software can classify objects based ...


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In the standard Turing test (or imitation game), the interrogator can ask multiple arbitrary questions, while, in the case of captchas, usually, there's only one question or problem. Additionally, in the Turing test, the interrogator interactively communicates with both the human and the machine. Furthermore, captchas do not test the conversational skills ...


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Google's AutoML is really a good idea in terms of autonomous model design. You can find the details in this blog. Let me explain briefly. We, data scientists, design new networks by following existing models, trying and failing and trying again and again by analyzing weaknesses and strengths of the created models. However, we, as humans, have limited ...


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The AI of the car uses sensor data to process all the data and classifies objects based on the size, shape and movement patterns. It can recognize surroundings from a 360 degree perspective by making predictions about vehicles, people and objects around it will move. It can detect pedestrians, but as moving, column-shaped blurs of pixels, so it really ...


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The question is based on a false fact: in Michigan, it is currently legal (under certain conditions described here ) for an autonomous car to operate without a driver. The reason that the federal government has not enacted any direct legislation (although they have enacted guidelines) on autonomous cars is because it is still a developing technology (as ...


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Google has not released the manufacturing details for their TPUs. However, it's suspected that they're produced by either Taiwan Semiconductor Manufacturing or GlobalFoundries, as these are some of the largest companies in the industry. Source


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In general, Google autocompletes (and produces search results) based on wide variety of factors, including (but not limited to) your location, your search history, your other Google accounts, your site visit history, your language settings, etc. For the specific question, I see a few ways in which Google might have access to the relevant information: If ...


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##Why Some Investors and Researchers Prefer Radar Over Radar, and Thereof Recent Developments in Radar Direct Answer to Your Question / What This Answer is About " ... Why does Google use radar? Doesn't LIDAR do everything radar can do? In particular, are there technical advantages with radar regarding object detection and tracking? ... " ~ ...


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LIDARs, especially cheap LIDARs, have problems with reflective surfaces (like metallic paint on cars), strong lights like car headlights, weather(rain, snow, hail, fog), and have a considerably shorter range than comparable in price radars. Of course, they have much better precision, so some hardware stacks for cars are using both.


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I'm not sure what Google is using to perform that task, but most companies use region based convolutional neural nets to locate traffic signs and other objects. But other companies use a deep neural network + bag of words approach to find objects. See: Bag-of-Words Based Deep Neural Network for Image Retrieval which shows a general approach, to get the ...


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This is a really hard question to answer, as there's no telling just how much each company spends specifically on AI. It helps that Google (or rather Alphabet Inc) has a specific subsidiary company specialising in AI (DeepMind), but even with this Google may have it's own division that works on other AI projects. You're questions are vague and vary massively ...


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are the LSTM cells on a given row all the same cell, with time flowing forward from left to right? Yes this is correct The x-axis on this figure is basically the time axis. Essentially all pink boxes in the same row are the same LSTM cell, with different inputs from the same sequence. At each timestep, the cell takes an input and produces an output which is ...


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Here are a few websites that help run the deep dream generator: 1) http://deepdream.psychic-vr-lab.com/deepdream/ 2) https://dreamscopeapp.com/deep-dream-generator This blog by Google AI explains the concept and here is the GitHub repo for the same. It has a python notebook for reproducing the results.


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Can you use them commercially? Yes. Is Google able to sue you any time they want? Yes. Will they do that... Probably not. Google isn't a known patent bully, I would give them the benefit of the doubt in this kind of situation and say, unless you start really giving them real trouble, they wouldn't do anything. Some companies/people know an idea can ...


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Google is just one of the vendors for AI and their initial AI self-service is limited to image analysis. Their are other AI vendors (Microsoft, Amazon) that have other services also. AI is definitely capable of continuous video feed analysis. The self-driving car technology uses live video feed analysis. Are you exploring AI in general or specific use cases? ...


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This answer addresses the incorrect assumption that the US government prohibits it (that is, here's no federal law against it, but state laws vary), so I will address the incorrect assumption that there now exists "well-designed AI". If you look at the actual reports submitted by the autonomous car companies who have tested in California, you'll see that ...


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