Google's Accelerated Mobile Pages are great for speeding up the web on your phone, but not so much if you want to share links with friends. Frequently, the only hint at the original link is a brief mention at the top -- share the page you're looking at and you'll give people Google's AMP cache, not the actual site. You won't have to wonder where the original link went for much longer, though. Google is fulfilling a promise by adding a simple way to share the source for an AMP story. When you're looking at an article you tapped in search results, the AMP header bar will have an anchor button that shows the original link.
Google has slowly been expanding each of its apps to work better for families. It even launched Family Link, a way for kids to use Google's apps with parental supervision. SEE ALSO: Google's new Google Photos update can now automatically share your selfies The company is now expanding its family offerings across many more apps, including YouTube TV and Google calendar, the company announced on Tuesday. The newly launched YouTube TV comes with family accounts and can be used by up to 6 devices. On Google Calendar, a new "family calendar" makes it easier to have a streamlined calendar for family activities.
From Big Data projects like Strayer University's student support system to AI projects like Carnegie Mellon's socially aware robot, researchers are discovering that cloud technology can help make academic research cheaper, faster, easier, and more secure. Whether you're just starting out with a new idea, or validating your work before sharing it with the public, we want to help you advance your new discoveries. Academic researchers in qualified regions are encouraged to apply. Like the Google Cloud Platform Education Grants to support computer science courses and the partnership to support National Science Foundation (NSF) grants in BIGDATA, our GCP research credits program supports faculty who want to take advantage of GCP's data storage, analytics, and machine-learning capabilities. Andrew V. Sutherland, a computational number theorist and Principal Research Scientist at the Massachusetts Institute of Technology, is one of a growing number of academic researchers who have already made the transition and benefited from GCP.