The researchers add, "[I]t is possible that in the future algorithms will write many if not most algorithms." That future looks pretty close. MIT Technology Review rounds up several recent milestones in machine learning software that is making machine learning software. There are lots of implications here, but one obvious one is that some of the hottest tech job categories of 2017 may be at just as much risk of being automated away as truck drivers. "If self-starting AI techniques become practical, they could increase the pace at which machine-learning software is implemented across the economy," writes Tom Simonite, the magazine's San Francisco Bureau Chief. "Companies must currently pay a premium for machine-learning experts, who are in short supply."

Sony's latest 4K panels boast powerful processors that improve the look of just about any video you throw onto the screen. But the chips inside these TVs don't stop at making movies look better: Like giant Pixel phones, the TVs will have Google's voice-controlled Assistant built into them. According to Sony, Google Assistant will be added to their new sets via a firmware update later this year. The sooner they can do it, the better. Tens of millions of people are expected to decide it's finally time to buy a 4K TV this year, and the deals are delicious at every point of the pricing spectrum. Variety abounds too, as the industry's big brands try to solve different pieces of the picture-quality puzzle.

Technology often hits the market at the speed of innovation and we play catch up with its impacts. We craft policy after the fact, write standards for safety and market growth and, perhaps, ponder how the latest technology will shape our behavior and impact society at large. Fortunately, this somewhat ad hoc, imperfect approach has worked well enough in a rough-and-tumble world. But sometimes entirely new, potentially far-reaching, high-impact areas of innovation come along that demand vigorous consideration upfront before opportunities for unintended consequences become manifest. Such is the case, I believe, with artificial intelligence, or AI.

Slush, Europe's leading startup event, took place in Helsinki from November 30th to December 1st. Thousands of attendees including startups, investors, tech companies, and researchers came together to get a glimpse of the latest developments in a massive range of fields. Futurice was there in force: our Futucafe went on tour, providing good coffee and a meeting space for attendees, and we launched the Chilicorn Fund as a way to make the world a slightly better place. Our data science team went along too, and I'm going to talk about some of the trends we saw there. Machine learning, artificial intelligence, analytics, data science: these terms were on the lips of companies and speakers throughout Slush.

One of the most common analyses we perform is to look for patterns in data. What market segments can we divide our customers into? How do we find clusters of individuals in a network of users? It's possible to answer these questions with Machine Learning. Even when you don't know which specific segments to look for, or have unstructured data, you can use a variety of techniques to algorithmically find emergent patterns in your data and properly segment or classify outcomes.

Illustrious physicists including Stephen Hawking have warned against the dangers of artificial intelligence and its unchecked growth in the last century. Could it one day outgrow us, and make us extinct? How would it do this? A massive thank you to our super fans who have supported us on our Patreon page. Follow us on Twitter - http://bit.ly/MNqFgY

The new year has arrived and it's going to be one big year for wearable tech. Evey year I look into my connected crystal ball and peek into the future to predict what might happen in the world of wearables. Here is how I think 2017 will shake down for the wearable world. The biggest buzzword of 2017 is AI, and it's set to be the saving grace of IoT and wearables. Deep learning is a massive missing piece when it comes to our connected world -- wearable tech included -- as cognitive computing and machine learning will make use of big data and connect the dots for users.

Ever since Facebook expanded access to its Messenger service in April 2016, giving businesses the ability to reach customers through APIs, "Chatbot" has become the buzzword in developer communities across the globe. Here is a short piece on the essentials for investing resources in chatbots that may be helpful to startups and established businesses alike. There is a certain'wow factor' when someone books a cab or orders a bouquet of flowers simply through a conversation. It's a never-seen-before phenomenon where computing intelligence uses natural human language to deliver simplified consumer experiences. Chatbots have the advantage of enabling users to access business services while on chat platforms like Facebook Messenger and Telegram.

Major smartphone makers are following Apple and Google into the smartphone trend of 2017: artificial intelligence. LG's G6 could feature Google Assistant, Samsung said its Galaxy S8 will feature its own AI assistant, and Huawei's Mate 9 is the first phone with Amazon's Alexa. The Chinese conglomerate has been especially vocal about AI in their smartphones--unusual for top smartphone makers, who are normally secretive about their latest devices. Huawei said they will have an AI-focused "Superphone" in 2020--just a year before their goal to be the world's top smartphone maker. The Chinese tech giant has been sitting at No. 3 since last year, behind Samsung and Apple.

'Did you know about the emerging Artificial Intelligence? Its going to shape the future of our Collective Intelligence. Two months back I sat for the lecture of Dr. Scott Lee (Professor of Endocrinology, Linda University in the United states). He explained his crew's invention of the artificial pancreas which could achieve the target Hb1Ac of 6.9 mg/dl which is one of the greatest achievements compared to other primitive models of the artificial pancreas which could not make Hb1Ac below 7 mg/dl. The wonder in this subject is how the artificial pancreas brings the glucose down?