Digital technology, media and intellectual property
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Google releases an open source font that supports 800 languages


11 October 2016 - Google has been working on the project over the past five years in collaboration with Monotype in hopes of eradicating so-called "tofu" -- the blank boxes you see when a PC or website can't display a particular text -- from the web. Noto, or No more tofu, is Google's answer, and it's available now to download.

Said Scott Landers, president and CEO of Monotype:

"We are thrilled to have played such an important role in what has become one of the most significant type projects of all time. Monotype played the biggest role, though Google also collaborated with Adobe and had a network of volunteer reviewers. As far as Monotype is concerned, Noto is one of the expansive typography projects ever undertaken".

There's 110,000 characters, and Google says the project "required design and... Read more

October 11th, 2016 | Published in General Technology, Google and the World

Think Snapchat’s Spectacles are weird? Then you’re old. And DON’T think Google Glass. It’s where mobile is going.


Eric De Grasse Chief Technology Officer


26 September 2016 (Tel Aviv) - So what do you think about Snap's first hardware product - their newly announced Spectacles? Maybe you're thinking about Google Glass, the spectacularly failed hardware project that took the world by storm for not much more than a minute?

Well, it's not about your (or my) opinion, but whether Snapchat's userbase is going to like it. Those users also happen to be younger people than most people who read this blog, or are interested in tech journalism in general.

The newly christenend Snap Inc. isn't making it a secret they're going after teens - just check out their commercial. It features a bunch of teens, having fun on their skateboards, capturing every moment with their... Read more

September 26th, 2016 | Published in Digital and Mobile Technology

Google’s Assistant: the tech giant’s big bet on artificial intelligence


Alphabet is set to reveal its foray into conversational computing in the coming weeks

  Courtesy of the Financial Times  

21 September 2016 - Google’s big bet on computers that can teach themselves is about to face its most significant examination.

“Machine learning” has brought artificial intelligence (AI) back into the technology mainstream which, for Google, means using its computing resources to analyse mountains of data to identify patterns and make predictions, from calculating the adverts users are likely to find most relevant to whether a digital image shows a cat or a dog. Quoting Jeff Dean, the engineer who has spearheaded Google’s efforts since it began to focus on the area nearly five years ago:

“It’s now solving problems... Read more

September 21st, 2016 | Published in Google and the World

Google “Trips” launches, “Destinations” expands, as Alphabet focuses on travel [with VIDEO]


19 September 2016 - Google has created a travel app that organizes flight, hotel, car and restaurant reservations with offline accessibility a main highlight. Says Google:

"Google Trips is a personalized tour guide in your pocket. Each trip contains key categories of information, including day plans, reservations, things to do, food & drink, and more, so you have everything you need at your fingertips."

Expanding its travel-related services even further, Google is reportedly also today rolling out its Destinations product worldwide (previously restricted to U.S.) and offering desktop functionality (previously restricted to mobile). You can read more about Google Trips by clicking here and watching the following... Read more

September 19th, 2016 | Published in Google and the World

As machine learning technology improves, blurred or pixelated images are not as safe as they may seem


16 September 2016 -  The University of Texas at Austin and Cornell University are saying blurred or pixelated images are not as safe as they may seem. As machine learning technology improves, the methods used to hide sensitive information become less secure. Quartz reports:

Using simple deep learning tools, the three-person team was able to identify obfuscated faces and numbers with alarming accuracy. On an industry standard dataset where humans had 0.19% chance of identifying a face, the algorithm had 71% accuracy (or 83% if allowed to guess five times). The algorithm doesn't produce a deblurred image -- it simply identifies what it sees in the obscured photo, based on information it already knows. The approach works with blurred and pixelated images, as well as P3, a type of JPEG encryption pitched as a secure way to hide information. The... Read more

September 16th, 2016 | Published in Cognitive computing

"The mind that lies fallow but a single day sprouts up follies that are only to be killed by a constant and assiduous culture."
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