Ben Woods of The Next Web reports, “Google has joined forces with the University of Oxford in the UK in order to better study the potential of artificial intelligence (AI) in the areas of image recognition and natural language processing. The hope is that by joining forces with an esteemed academic institution, the research will progress more rapidly than going it alone for its DeepMind project. In total, Google has hired seven individuals (who also happen to be world experts in deep learning for natural language understanding), three of which will remain as professors holding joint appointments at Oxford University.” Read more
Posts Tagged ‘natural language processing’
Jacob James of Newsweek recently discussed artificial intelligence expert David Levy’s thoughts on combining natural language processing with sex dolls, and what doing so might mean for society. James writes, “It was while researching his 2003 book, Robots Unlimited, that [Levy] first became interested in the subject. Specifically, he read a quote from a 1984 book by Sherry Turkel… An interviewee, ‘Anthony’, told Turkel that he had tried having girlfriends but preferred his relationship with his computer. ‘That quotation hit me like a brick wall,’ says Levy. ‘I thought – if a smart guy could think like that in 1984, I wonder how much the concept of human-computer emotional relationships has developed since then’.” Read more
BOCA RATON, Fla.–(BUSINESS WIRE)–LinguaSys has created a new Application Programming Interface (API) portal, GlobalNLP™, https://nlp.linguasys.com/ to reach the flourishing global developer population building Natural Language Processing applications with their own business logic. GlobalNLP™ enables software developers to understand and extract meaning from unstructured or conversational text across languages.
LinguaSys provides deep understanding of the meaning of textual human dialogue better than anyone. We offer broad language support in over 20 languages, including the more challenging Asian and Middle Eastern languages, the most high quality semantic collection in the industry. Read more
Josh Constine of Tech Crunch recently wrote, “They call it Truffle Pig, and it’s ProTools for playlists. Punch in parameters like ‘danceability’, date ranges, or emotions and Truffle Pig spits out a set of top jams that would fit your ‘Lovesick 90s Party Starters’ playlist. Truffle Pig is just one of the new musical inventions dreamed up at the sonic skunkworks born from Spotify’s $100 million acquisition of The Echo Nest. Deep inside Spotify’s New York headquarters, the team gave me a peek how the combined company plans to nail recommendations, hook other apps up with legal music, and meld human DJs with algorithms to surface the best songs from the history of recorded sound.” Read more
Jordan Novet of Venture Beat reports, “Idibon, a startup that has developed applications that make sense of text in scores of languages, has raised $5.5 million in new funding. Following its launch in January, Idibon has attracted business from Edmunds.com, Samsung, the United Nations, and some global consulting firms, among others. And the startup has worked with text from sources in more than 50 languages. Idibon is not satisfied, though. The new funding it’s announcing today should help it do much more business. ‘We’re seeing a lot of just unmet demand,’ Idibon chief executive and co-founder Rob Munro told VentureBeat in an interview.” Read more
Dr. Mahesh Saptharishi of Forbes recently wrote, “Communication, in its many forms, has tremendous power… When you combine language with the Internet, you see how our lives have changed; we are freed from past limitations of distance, time and memory. Sensors give us an even greater opportunity to experience our world. The Internet-of-Things (IoT), as these connected sensors are collectively called, has enabled the digitization of language communicated by the physical world. Sensors allow the Internet to instantly extend the reach of our sight and sound. The data from sensors allow us to not only interactively, but also observationally communicate language.” Read more
Kia Kokalitcheva of VentureBeat reports, “A few years ago, when Apple added Siri to the iPhone, talking to inanimate objects with batteries to make them do stuff was pretty novel. Today, thanks to companies like Wit.ai, even kids at hackathons are showing off weekend projects that are voice-controlled. Wit.ai, a Y Combinator-backed startup that provides natural language processing (NLP) in the form of an API, is helping developers and startups integrate voice commands into their products. The company is announcing today that it has raised $3 million in seed funding just over a year since its founders posted the first API version on Hacker News.” Read more
NEW YORK – 07 Oct 2014: IBM is announcing significant milestones fueling adoption of Watson and cognitive computing cloud capabilities on a global scale. Watson is a groundbreaking platform that represents a new era of computing based on its ability to interact in natural language, process vast amounts of Big Data to uncover patterns and insights, and learn from each interaction.
On Tuesday, October 7, IBM Watson Group Senior Vice President Mike Rhodin demonstrates Watson at work in its Client Experience Center at its new global headquarters at 51 Astor Place in New York City’s Silicon Alley. Read more
Barb Darrow of GigaOM recently wrote, “IBM’s Watson natural language query/cognitive computing prodigy was a huge PR coup for Big Blue. Three years ago, Watson defeated Jeopardy champ Ken Jennings on national TV and beat other challengers like a drum on a subsequent victory tour. (Ask Gigaom’s own Stacey Higginbotham about that sometime.) IBM rode that wave for years to show that despite its woes, it can still do really hard stuff. IBM wants Watson to be a $10 billion business by 2023. But, unfortunately for IBM, there is ‘not a lot of commercial application to playing Jeopardy,’ Mike Rhodin, IBM SVP for Watson, acknowledged at Emtech 2014 at MIT on Tuesday.IBM invested untold millions in Watson, so it’s now time for Watson to, in the tortured words of another Emtech presenter, become ‘a market-based solution’.” Read more
Greg MacSweeney of Wall Street and Tech recently wrote, “It’s relatively easy to find information on public companies. Bloomberg, Thomson Reuters, and Dun & Bradstreet, for example, all have in-depth information that is accessible to anyone with a subscription. But where do investment bankers, venture capitalists, and other investors find reliable information about private companies? If you talk to investment bankers, or other investors who are looking for information on non-public companies, it quickly becomes apparent there is no easy answer. Investment bankers rely mostly on Google searches and a combination of information gathered from Hoovers, S&P Capital IQ, Dun & Bradstreet, and others. But it is a laborious manual process to do due diligence on private companies.” Read more
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