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Using Machine Learning to Predict Parking Difficulty


According to the Telegraph, an average driver wastes a total of 2,549 hours looking for parking. That's 106 days of wasted time. Now, those are statistics in the UK, but I bet that drivers in the US living in metro areas waste just as much -- if not more -- time looking for parking. Last week, Google quietly launched a new parking feature for Google Maps on Android across 25 major US cities. If you are in these metro areas, you will now see a red parking sign that indicates limited parking availability to help you plan your trip.

Google Flights uses AI and machine learning to predict delays


Google has added updates to its flight booking service Google Flights that will give passengers a heads-up before they arrive at the airport.

Google Maps adds EV charging station info


Following recent updates that help users plan their commutes and group events, Google Maps is now helping EV drivers figure out where to charge their vehicles. A new feature is rolling out today that will let you search for charging stations and provide you with useful information about that station. Just search for "EV charging stations" or "EV charging," and Google Maps will locate those nearby. It will also tell you what types of ports are available, how many there are as well as the station's charging speeds, and businesses with charging stations will now have a link that will lead you to more information about their setup. Additionally, you'll be able to see what other users thought of the station, as Google Maps will bring up user-posted photos, ratings and reviews.

Google may Start Predicting Next Flight Delay Accurately - Tomorrows Central


Flight delays are a big headache when you are traveling somewhere. Internet based results for flight delays isn't that accurate, and thus many of us have to spend a lot of time sitting at the terminal.

Google plans to use artificial intelligence to improve quality of life


Technology giant Google is aiming to'democratize' artificial intelligence and machine learning by making them available to everyone including users, developers, and enterprises. Be it diagnosing of terminal disease or preventing road accidents or recognizing financial frauds, Google said that it intends to lower the entry barrier of using such technologies for improving the quality of life. In addition to this, these technologies would help the self-driving cars as well. Even Google Photo's search capabilities and Snapchat filters would be enhanced. "Google's cloud platform already delivers customer applications to over a billion users every day, Now if you can only imagine, combining the massive reach of this platform with the power of AI and making it available to everyone", commented Fei-Fei Li, chief scientist of Alphabet Inc. and machine learning at Google Cloud.