If you're one of the thousands of New Yorkers who has, on occasion, sent out a tweet after a couple of cocktails, this algorithm may be able to pick up on your antics. Researchers from the University of Rochester recently developed a computer program that can single out tweets sent while the user is tipsy. Some of the strongest words include "shot," "here," "haha," a URL, and -- worrisomely -- "drive." To develop the algorithm, researchers first collected millions of geo-tagged tweets and then filtered them for references to drinking and alcohol. Then they had to sort out whether the tweet was sent actually sent about the user's own alcohol use (and not, say, a friend's) and whether it was sent while the tweeter was under the influence.

For more than 30 years, Gibbs has advised on and developed product and service marketing for many businesses and he has consulted, lectured, and authored numerous articles and books. Artificial Intelligence is tricky stuff. When it works right, it does amazing things like thrash the World Champion Go player by winning four games to one in a 1 million tournament. When it goes wrong, well, that's a whole different story, and Microsoft's recent experiment with an AI chatbot named Tay that interacted (note the past tense) with users on Twitter, Kik, and GroupMe, is a great example. Going offline for a while to absorb it all.

It's been another busy week across the tech world, bringing some news that had been long-anticipated, and some surprises that were far from expected. With the weekend upon us again, 7 Days is here once more to bring you up to speed on what you may have missed, so get comfy, and let's crack on… We begin this week with bad news for owners of most BlackBerry devices. Facebook has revealed that it will end access to certain APIs on BB OS 7.1 and BlackBerry 10, which means that the next Facebook update for BlackBerry will lose several major features. On Wednesday, Google announced its plans to launch Android Pay in the UK "in the coming months", but while numerous major financial institutions and retailers are onboard, two of the country's'Big Four' banking groups – Barclays and RBS, which includes NatWest – haven't signed up. We've known for a while that the next version of Android would include split-screen multitasking support.

Nearly a decade after the iPhone broke the mold for mobile phones, the question being asked is whether the evolution of the smartphone has finally come to an end, as even Apple now treats older, smaller 4-inch screens as something new. Industry experts believe innovation in smartphones is giving way to phone functions popping up as software or services in all manner of new devices, from cars to fridges to watches and jewelry rather than remaining with handheld devices. And analysts and product designers said fresh breakthroughs are running up against the practical limits of what's possible in current smartphone hardware in terms of screen size, battery life and network capacity. "Everything in the phone industry now is incremental: slightly faster, slightly bigger, slightly more storage or better resolution," said Christian Lindholm, inventor of the easy text messaging keyboards in old Nokia phones that made them the best-selling mobile devices of all time. The financial stakes are high, as the futures of Apple, Google and Microsoft, the world's three biggest listed companies at the end of last year, may now turn on who gets the jump on making handsets redundant.

In this video Scott Hanselman delivers one of the best and personal demos, he'll show you how a combined solution using technologies such as IoT devices, cloud platforms, Machine Learning and Office API's can come together to solve even the most complex problems. The samples in the repo are used to present an end-to-end demo scenario based on a fictitious B2B and multitenant system, named "HealthClinic.biz"

I built this as a side project in January / February 2016, as a practical means of getting some experience with machine learning, quantitative finance, and of course hopefully making some profit;). Here's an example of a Decision Tree classifier being used to make a buy (blue), sell (red), or hold(green) decision on the BTC_ETH pair. On both graphs, the x axis is a recent price movement, and the y axis is a previous price movement, the length of which is determined by a parameter called granularity. These graphs show only the last two price movements. The graphing library used is constrained by two dimensional space, but you could generate a classifier that acts upon n pricemovements ( n dimensional space).

Jarno M. Koponen is a designer, humanist and co-founder of media discovery startup Random. As humanity debates the threats and opportunities of advanced artificial intelligence, we are simultaneously enabling that technology through the increasing use of personalization that is understanding and anticipating our needs through sophisticated machine learning solutions. In effect, while using personalization technologies in our everyday lives, we are contributing in a real way to the development of the intelligent systems we purport to fear. Perhaps uncovering the currently inaccessible personalization systems is crucial for creating a sustainable relationship between humans and super–intelligent machines? Industry giants are currently racing to develop more intelligent and lucrative AI solutions.

Lee Sedol, a South Korean professional Go player, smiles as he reviews his defeat with other players after finishing the final match against Google's artificial intelligence program, AlphaGo, last week in Seoul.

The recent event of Microsoft's hijacked chatbot Tay highlights that not all human creations are ingenious, some can be harmful and distasteful. The work of creating a machine learning program to learn more about how artificial intelligence programs engages with Web users in casual conversation turned out to be an unpleasant experience. The bot Tay started tweeting abuse. In the light of these events Tay was pulled off from Twitter since, what was designed to interact with web users in a good way, quickly learned to parrot a hateful speeches. Some hackers, it is believed took advantage of a vulnerability present in the AI chatbot.

Where to begin with this week? At least we've got hoops (and long odds). On Wednesday, the software giant released a chatbot called Tay. It was a research project meant to talk like a teen girl and learn from its interactions with real people on the Internet. You'll never guess what happened next.