Category: Data

The Dot. In Your Gmail Address Doesn’t Matter.

The Dot. In Your Gmail Address Doesn’t Matter.

For quite a long time Gmail users have always thought that having and are two different email addresses, For just that reason, Google decided to do things differently from other email providers when it launched Gmail.

Namely, it decided to ignore periods in its users’ email addresses altogether.

That’s right—they make absolutely no difference. As a post on Google’s help forums clearly explains:

  • =
  • =

You could even email, and your message would still make its way to the very same donut-loving dude.

So the inclusion of dots on to your Gmail address don’t actually matter, never say your receiving someone else’s message’s just because you missed a dot between your initials on the address. However this doesn’t apply yo the other emailing companies like Microsoft Outlook, Yahoo Mail, Apple iCloud.

Android Instant Apps, Now we can run apps without installing them.

Android Instant Apps, Now we can run apps without installing them.

Native Android apps, without the installation

Android Instant Apps is the next awesome thing in the mobile Web. Announced at Google I/O today, Instant Apps lets developers take advantage of modules that allow mobile Web users to use an application without actually installing it.io2016

An evolution in app sharing and discovery, Android Instant Apps enables Android apps to run instantly, without requiring installation. Instant Apps lets you experience what you love about apps — fast and beautiful user interfaces, high performance, and great capabilities — with just a tap.

When clicking a link, Google Play runs the app instantly by only fetching the pieces of the app you need at that moment.

The first example showed the user clicking a Buzzfeed Video link to view a recipe and being transported to the appropriate part of the application — all in a span of about two seconds.

In another example, the presenter used B&H’s Android app to show a complete search to purchase cycle of a camera bag on the company’s app. No app install took place and after a total of three clicks, and about 30 seconds, the demonstrator has purchased a new camera bag.

The demo was done in real-time, and on an Android device running version 4.4 KitKat. Once released, it’s expected to be backwards compatible, and will run on any device running Jellybean or newer.

Google expects to roll out Android Instant Apps by the end of the year.


AI tool scours all the science on the web to find new knowledge


IT’S the proverbial needle in a haystack. The more information there is online, the easier it is to overlook the most important stuff. Now an automated tool has been set the Herculean task of mining every science paper it can find online to help researchers come up with new ideas.

Semantic Scholar, launched this week by the Seattle-based Allen Institute for Artificial Intelligence (AI2), can read, digest and categorise findings from the estimated 2 million scientific papers published each year. Up to half of these papers are never read by more than three people. The system aims to identify previously overlooked information and connections with other research.

“Our vision is of a scientist’s apprentice, giving researchers a very powerful way to analyse what’s going on in their field,” says Oren Etzioni, director of AI2. A researcher will be able to ask what the literature says about middle-aged women with diabetes who use a particular drug, for instance.

The system works by crawling the web for publicly available papers and then scanning their text and images. By identifying citations and references, Semantic Scholar can determine the most influential or controversial papers. It also highlights key phrases from similar studies, extracting and indexing the data sets and methods used by each researcher.

AI2 is not the only organisation intent on digitising and analysing the world’s scientific discoveries. Meta, a big-data start-up in Toronto, Canada, announced a similar service this week called Meta Science, which scans publishers’ libraries and university websites to rank scientific papers. In 2013, a system using IBM’s Watson AI technology, called the Knowledge Integration Toolkit (KnIT), mined 100,000 papers to successfully predict the interactions of a tumour-suppressing protein. IBM says KnIT is now fully automated to work without human oversight. The Defense Advanced Research Projects Agency (DARPA) in the US is also working on technology, code-named Big Mechanism, to read all papers on certain types of cancer to help identify potential treatments. It is scheduled for completion by the end of 2017.

Kenneth Forbus of Northwestern University in Chicago, Illinois, is confident that such services will prove useful. “Machines that help us filter could increase the rate at which we find, if not diamonds in the rough, then at least useful nuggets,” says Forbus. “One might miss something, but professors already routinely use graduate students and colleagues for the same service, so the risks are well-understood.”

“Machines that help us filter information could increase the rate at which we find useful nuggets”

At launch, Semantic Scholar is focusing on computer-science papers. It will gradually expand its scope to include biology, physics and the remaining hard sciences.

Etzioni says the plan is to increase the system’s power over time to see how deeply it can understand what a paper is about. “Ultimately, perhaps a human scientist doesn’t have to read it at all.”