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Google Uses Machine Learning To Improve Google Forms


Google is using machine learning to improve Google Forms in a bid to make the tool smarter and easier to use so that people have to be less hands-on with it, while also saving them more time so they can be more efficient and devote time to other equally or perhaps more important tasks. As part of the update to Google Forms, one of the improvements included is intelligent response validation, and from time to time (whenever it's possible to do so) Google Forms will make a suggestion to users to validate a response that was issued by the person filling out a Google Form based on the questions that are asked by the form's creator. Google does note however that suggestions for validation won't be there for every single response. Also in the presence of saving time for users, Google Forms will now allow you to set up pre-configured preferences for future forms that you create so you don't have to choose certain elements each time you set up a new form, such as the option for always collecting email addresses or making questions required. Another new change is cross-file sharing support.

The Future Is Now: Machines Track Your Data to Learn How You Think


When quizzed about the problem-solving that Google uses ML to enhance, Pande said that Google's large pool of user data allows them to provide answers to text, voice, speech and translation-related issues posed by users. ML applications currently in the works can also read text and detect the tone of what is being written. For instance, they can figure out if a user is congratulating someone or complaining about something, and act accordingly. Recently, Google has given us a real-world example of ML put to work, with products like Suggested Sharing, and Photo Books that utilise it to select the best of your photos and make a photo album for you.

Google uses machine learning to help journalists track hate


"The feed is generated from news articles that cover events suggestive of hate crime, bias or abuse -- such as anti-semitic graffiti or local court reports about incidents," Google writes. "We are monitoring it to look our for errant stories that slip in, i.e. searches for phrases that just include the word'hate' -- it hasn't happened yet, but we will be paying close attention." The web app is available as of today and Google says that it'll keep tweaking it over the next few months as use-case data starts rolling in.

Machine Learning Crash Course From Google


We've been talking a lot about machine learning lately. People are using it for speech generation and recognition, computer vision, and even classifying radio signals. If you've yet to climb the learning curve, you might be interested in a new free class from Google using TensorFlow. Of course, we've covered tutorials for TensorFlow before, but this is structured as a 15 hour class with 25 lessons and 40 exercises. Of course, it is also from the horse's mouth, so to speak.

Google Goes All In On Artificial Intelligence As 'Google Research' Becomes 'Google AI'


MOUNTAIN VIEW, CA - MAY 08: Google CEO Sundar Pichai delivers the keynote address at the Google I/O 2018 Conference at Shoreline Amphitheater on May 8, 2018 in Mountain View, California. Google's two day developer conference runs through Wednesday May 9. (Photo by Justin Sullivan/Getty Images) Google has rebranded the whole of its "Google Research" division to Google AI as the company aggressively pursues developments in the burgeoning field of artificial intelligence. The change, announced ahead of its Google I/O developers conference this week, shows just how serious Google is when it comes to AI, which encompasses technologies such as computer vision, deep learning, and speech recognition. Announcing the news in a blog post, Google said it has been implementing machine learning into nearly everything it does over the last few years. "To better reflect this commitment, we're unifying our efforts under "Google AI", which encompasses all the state-of-the-art research happening across Google," wrote Christian Howard, editor-in-chief of Google AI Communications.