Facebook has recently made it easier for blind users to share the same experience as the rest of the community of Facebook users by filling in the Photo Blanks. Facebook introduced on Monday April 6, 2016 an automated alt text which is a new tool that helps blind users to visualize the images as they scroll up and down. "There seems to be a general movement towards making technology more accessible. I think people are recognizing the great opportunities. There are close to 250 million people around the world with visual impairments and almost 40 million who are actually blind," Susan Schreiner, an analyst at C4 Trends said for TechNewsWorld.

Text analysis startup Aylien, which uses deep learning and NLP algorithms to parse text and extract intel from documents for its customers, has launched a new tool specifically focused on analyzing written news content. "The idea for the News API is to give access to the news content that is out there enriched and in real-time to developers and data scientists," says co-founder Parsa Ghaffari. The Dublin-based startup says it's utilizing core text analysis tech powering its existing text API product, which launched back in February 2014 -- but this time it's focusing exclusively on news content and also doing a little more of the analytical heavy lifting for its customers. "We decided to simplify the use case a little bit by collecting and analyzing the news documents on our end, rather than giving them the tools to do that themselves. So this was born out of that," says Ghaffari.

The purpose of a game is to deliver a captivating interactive experience to its users. If we delve games that have made a huge success out of themselves we'll find just one common trait- Design. People can call it'Fancy Technology', but we all know it's the fascination of technology that attracts users the most. Then comes the graphics part, where smoothness and asymmetry concoct an effective broth. With the entrance of technologies like Virtual Reality, Augmented Reality, the user experience has drastically shot up and so the competition.

If artificial intelligence has its way, discounting could disappear, thanks to software that tells retailers exactly what and how many products to buy, and when to put them on sale to sell them at full price. Online shopping could become a conversation, where the shopper describes the dress of their dreams, and, in seconds, an AI-powered search engine tracks down the closest match. Designers, merchandisers and buyers could all work alongside AI, to predict what customers want to wear, before they even know themselves. In the last few years, a trifecta of cheap, ubiquitous, powerful computing; big data; and the development of deep learning have triggered a revolution in artificial intelligence. The computing devices that now fill our everyday lives generate large data sets, which "deep learning" algorithms analyse to find trends, make predictions and perform specific tasks, such as identifying specific objects in an image.

The history of artificial intelligence (AI) dates back into antiquity – intelligent robots appear in the myths of many ancient societies, including Greek, Arabic, Egyptian and Chinese. Today, the field of artificial intelligence is more vibrant than ever and some believe that we're on the threshold of discoveries that could change human society irreversibly, for better or worse. Humans tend to think in straight lines, but every aspect of technological progress is actually accelerating – including AI. Futurist Ray Kurzweil calls this the "Law of Accelerating Returns", and presents evidence that an amount of progress equal to the entire 20th century's gains was attained between 2000 and 2014. He also argues that the same amount will happen again before 2021. Understanding the exponential nature of progress and ignoring the inner tendency to think things will keep improving at the same rate is key to getting to grips with how fast we'll make scientific advances in the future.

Over the course of the last weeks and months you couldn't escape news and stories about messaging platforms going after B2C use cases à la "order me some food", "book me a hotel room" or "I need a ride downtown in 30 minutes". Pioneered and taken to huge success in Asia by platforms like Weixin/WeChat, LINE and Kakao, especially Facebook with its two behemoth platforms Messenger and WhatsApp is taking decisive actions to bring businesses and consumers together on their platforms. Kik is even faster, having just launched such a botstore for brands. In their launch line-up are 18 well-known brands such as Sephora, H&M or The Weather Channel. And with these moves, communications platforms will tap into significant revenue streams in the form of rev shares and commissions for being the facilitator between businesses and consumers in everyday Transactions.

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Or did he deliberately damage his car? It's a question insurance companies face every day. Deliberate deception is a contributing factor in one out of ten insurance claims. A joint project by IBM and SAP is intended to make estimating easier for claims adjusters in the future. The two tech giants are developing a program that searches through large numbers of damage reports to uncover irregularities.

Fear of our jobs being replaced by machines dates all the way back to the invention of the cotton gin in 1793 and maybe even earlier. But as new machines, computers, and robots are developed and jobs are lost, we have learned new jobs are created: programmers, code-writers, and so on, and society adapts. However, as technology continues to advance, the artificial intelligence capabilities of some of these new "machines" make them seem more human than ever. As a lawyer, it makes you wonder: Can these new iPeople be held liable? Think about the bank teller and the fear he must have experienced when the invention of the ATM was announced, or the cashier when self-checkout was introduced.

Some foundations of statistical science have been questioned recently, especially the use and abuse of p-values. See also this article published in FiveThirtyEight.com. Statistical tests of hypotheses rely on p-values and other mysterious parameters and concepts that only the initiated can understand: power, type I error, type II error, or UMP tests, just to name a few. Pretty much all of us have had to learn this old stuff (pre-dating the existence of computers) in some college classes. Sometimes results from a statistical test will be published in a mainstream journal - for instance about whether or not global warming is accelerating - using the same jargon that few understand, and accompanied by misinterpretations and flaws in the use of the test itself.