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 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.
Experience tells us we will likely not succeed, so we make excuses -- I don't have the gear for running; I'm too busy to call Mom this week; where can I find the time to read? -- and eventually fall back to our old routines. Most of us set up resolutions each year, yet very few of us will stick to them. While the odds are not in our favor, there's good news: scheduling activities increases the chances of completing your goals. We designed Goals to help you schedule time for what matters in your life, working around unexpected changes in plans, while learning from your routine and preferences. Machine learning -- our algorithms figure out the best time for you to perform certain activities, learning over time -- and illustration work together to help you stay on track and guide you through the process.
Researchers have been attempting to make robots and artificial intelligence more creative over the past months – from drawing to writing quasi-dystopian poetry. Today we get another piece of work from a Google machine: a 90-second melody. It's the result of Google's Project Magenta, which aims to use machine learning to create music and art, and bridge the communities between those interests with coders and researchers. Magenta is built on top of its TensorFlow system, and you can find the open-sourced materials through its Github. The team says the challenge is not to just get Google machines to create art, but to be able to tell stories from it.