Tay, Microsoft Corp's so-called chatbot that uses artificial intelligence to engage with millennials on Twitter, lasted less than a day before it was hobbled by a barrage of racist and sexist comments by Twitter users that it parroted back to them. TayTweets (@TayandYou), which began tweeting on Wednesday, was designed to become "smarter" as more users interacted with it, according to its Twitter biography. But it was shut down by Microsoft early on Thursday after it made a series of inappropriate tweets. A Microsoft representative said on Thursday that the company was "making adjustments" to the chatbot while the account is quiet. "Unfortunately, within the first 24 hours of coming online, we became aware of a coordinated effort by some users to abuse Tay's commenting skills to have Tay respond in inappropriate ways," the representative said in a written statement supplied to Reuters, without elaborating.

My colleague Steve Liesman has published a report on the government's quarterly GDP report. Summed up, he found a large, persistent error in GDP between initial and final GDP reports. Not only is it off significantly, the government even gets the direction of growth wrong 30 percent of the time! Why is economic forecasting still so bad? Many feel that the tools being used to make the forecasts are simply inadequate.

Here is the link to coursera course for NLP Pick the software from the The Stanford NLP (Natural Language Processing) Group and input some text to view its parse tree, named entities, part of speech tags, etc.

Few days back I went to a bar with couple of friends and found that one of my friends is working with the bartender to create a perfect cocktail. The scene was such that it got me thinking. The bartender's action could very well be used to explain how an analytics lead could get his machine learning deployed and what best practices are needed. A good bartender keeps his vocabulary updated with what all liquor and additives at his disposal, so that he could create a variety that specifically targets your experience. Similarly, having an open mindset will help in picking the tool that could best serve the problem and not the bias?

Today DimensionalMechanics, a company launching out of stealth to make artificial intelligence scalable in the enterprise, announced the close of an oversubscribed 4.7 million Series A round of financing and introduced NeoPulse, a flexible cloud-based platform that will enable users to solve enterprise challenges by incorporating the power of AI into existing systems. We believe DimensionalMechanics has huge potential to bring the power of AI to bear on real-world market challenges across a range of verticals," said Kent L. Johnson, long-time Seattle VC /angel investor and DimensionalMechanics lead investor and board member. "By expanding the utility of AI as an applied science platform, the company is developing a horizontal platform flexible enough to address diverse challenges, rather than one that works in silos. Enterprise users want to unlock AI as a centerpiece of decision-making and operations – and DimensionalMechanics is forging the key." The investment round is comprised of angel investors as well as full board and founder participation. The funding will allow DimensionalMechanics to accelerate platform development and expand its diverse team of AI experts, engineers, mathematicians, physicists and others. DimensionalMechanics is on track to release an MVP version of its core platform, NeoPulse, in the fourth quarter of 2016. Still in early stages of development, NeoPulse is an extensible cloud platform that will enable developers to build limitless applications. The agnostic platform will work across systems and devices, allowing users to integrate AI capabilities without restructuring existing software stacks and workflows. We are on our way toward achieving our goal of building a robust AI platform that will enable enterprise users to answer far more complex questions than existing databases or AI systems currently allow – to move past answering, 'What?' so that we can answer, 'Why?'" said Rajeev Dutt, the company's co-founder and CEO.

Austin's annual South by Southwest festival is a glimpse into our future. Tech-savvy start-ups and multibillion-dollar enterprises alike are eager to show the world their newest projects and latest technologies. Our attendance at SXSW is an investment in our investments. We want to know about developing trends, and assess their impact on our existing portfolio. And we want to find the smaller, growing companies, that could be well-positioned for massive future upside.

SAN FRANCISCO – OMG! Did you hear about the artificial intelligence program that Microsoft designed to chat like a teenage girl? It was totally yanked offline in less than a day after it began spouting racist, sexist and otherwise offensive remarks. Microsoft said it was all the fault of some really mean people, who launched a "coordinated effort" to make the "chatbot" known as Tay "respond in inappropriate ways." To which one artificial intelligence expert responded: Duh! Well, he didn't really say that.

Tay, Microsoft's AI chatbot on Twitter had to be pulled down within hours of launch after it suddenly started making racist comments. As we reported yesterday, it was aimed at 18-24 year-olds and was hailed as, "AI fam from the internet that's got zero chill". Don't miss our biggest TNW Conference yet! The AI behind the chatbot was designed to get smarter the more people engaged with it. But, rather sadly, the engagement it received simply taught it how to be racist.

All of this somehow seems more disturbing out of the'mouth' of someone modelled as a teenage girl. It is perhaps even stranger considering the gender disparity in tech, where engineering teams tend to be mostly male. It seems like yet another example of female-voiced AI servitude, except this time she's turned into a sex slave thanks to the people using her on Twitter. This is not Microsoft's first teen-girl chatbot either - they have already launched Xiaoice, a girly assistant or "girlfriend" reportedly used by 20m people, particularly men, on Chinese social networks WeChat and Weibo. Xiaoice is supposed to "banter" and gives dating advice to many lonely hearts. Microsoft has come under fire recently for sexism, when they hired women wearing very little clothing which was said to resemble'schoolgirl' outfits at the company's official game developer party, so they probably want to avoid another sexism scandal.

I'm guessing this library will get the most use in inference. For that you'll want to implement the 2x2 and 4x4 winograd transforms. These can break a single input image into enough tiles to get you decent batched gemm performance. The smaller tiles have much higher accuracy as well, and even work fine in fp16 or int16. Also I suspect your muti-image winograd implementation can be optimized quite a bit more than it is.