Google has scooped up news aggregation summary service Wavii for $30 million, according to Reuters. (Google and Wavii haven’t officially commented yet.) Wavii’s service has been influenced by expert machine learning natural language processing work, as explained by founder and CEO Adrian Aoun in our interview here. In February, a blog on the site also explained its use of classification for NLP tasks like disambiguating entities, automatically learning new entities and relationship extraction. Late last year Wavii announced its iPhone app.

Reports have it that Google and Apple were in a bidding war over acquiring the venture, which has been likened to Yahoo’s Summly buyout in March (see story here). TechCrunch says the Wavii team will join Google’s Knowledge Graph division.
When it comes to delivering personalized intelligence about what’s up in the world, Wavii aims to better understand users and what they’ll want to see in their feeds not just via explicit topic follows, but also via various signals. These include which other topics are involved in the events they comment on, how often they click into events about each topic, what topics they search for and what topic pages they visit. It also includes other attributes of stories they care about besides the topics, and their interest level in a topic to guess what the interest might be in related topics.

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Seen anything good on TV lately? If the answer is ‘No,’ then maybe the problem is that you and your TV just aren’t communicating as well as you could be. The same may be said of your experience across other viewing mediums, like smartphones, tablets and PCs.

Veveo wants to change the picture, so to speak. “We want the TV to be as friendly as possible so you and the TV can have a really productive relationship,” says CMO Sam Vasisht. The company, which earlier this month exhibited its Conversational Interface Technology at TV Connect 2013 in London, says there’s a need for a universal interface based on natural language capability, so that people more intuitively can grasp what is available from where in a world of fragmented content sources, including how to better search for that content and manage their viewing experiences with greater speed and ease.

“Voice is probably the most natural way for us to deliver this experience,” says Vasisht. Veveo wants to be the platform that enables service providers and OEMs and video programmers to give their audiences the power of speech. Read more

Rado Kotorov of Venture Beat reports, “Many people delegate more and more to Siri (the electronic genie ‘in’ the iPhone) – from dialing phone numbers and finding directions, to taking dictation for SMS and emails. What if Siri could help us modulate the emotional tone of our messages? Would it make the world a better place with less conflict and argument, or would it leave piles of unread messages? Perhaps, but to be able to help in this aspect Siri will have to learn to do sentiment analysis: read text and determine its emotional charge.” Read more

Google Analytics gives web site owners good information about what’s clicking with visitors to their site, how those users got there, and more. But, attaining that insight can be somewhat laborious for those not well-versed in the tool and its interface, says Nick Cassimatis, associate professor in the Department of Cognitive Science at Rensselaer Polytechnic Institute. He’s the founder of natural language processing technology startup SkyPhrase. His take: Apply SkyPhrase to the task, and things get a lot easier.

The startup in February began private beta testing of its NLP interface to Google Analytics. “Google Analytics lets you ask things like how many people from California visited the site last month, or which of your pages were most visited on mobile devices,” says Cassimatis. “Our system lets you ask these questions in natural language and get answers to them” more seamlessly than using Google Analytics alone.

Previous to bringing its NLP help to Google Analytics, SkyPhrase had a public site that let users run natural language searches of their Gmail or Twitter accounts, as well as flights and music.

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Ron Callari of InventorSpot recently discussed the history of Siri and the rise of virtual personal assistants. He writes, “Back in May, 2009, I wrote about the first iteration of Siri, titled: Siri, Advice from Virtual Personal Assistants. For those who haven’t followed the iPhone evolution, while Siri was first integrated into iPhone’s operating system with their ’4S’ launch, it existed as stand-alone app previously. Fueled by artificial intelligence, it was a harbinger of what was to come in the new age of Web 3.0 and semantic technology… Siri prior to being acquired by Apple was the largest ‘artificial intelligence’ project in the U.S. at its time. Made possible by a $150 million DARPA investment, the project included 25 research organizations and institutions and spanned 5 years.”

He goes on, “Back then, according Bianca Bosker of the Huffington Post, ‘Siri boasted an even more irreverent tone — and a more robust set of skills.’ Read more

Devindra Hardawar of Venture Beat reports, “Like one part Siri and one part morning news update, a new app called Winston could change the way you consume news online. Launching today on the iPhone for free, Winston reads aloud recent news and social media updates through a distinguished electronic English accent. The app summarizes news to highlight the juicy bits, and it also translates your Twitter and Facebook updates into easily absorbed nuggets (ignoring hashtags, abbreviations, and the usual social media mess).” Read more

The Huffington Post recently shared an inside look at the origins of Siri. The article states, “The world got its first inkling of the quick wit that would make Apple’s Siri an icon during a packed press conference held before an auditorium of tech elite. ‘Who are you?’ an Apple executive asked the assistant. ‘I am a humble personal assistant,’ Siri answered to appreciative laughter. More like humbled personal assistant. That press conference was actually Siri’s second coming-out party. When the virtual assistant first launched in early 2010, it was a standalone iPhone app called Siri created by a 24-person startup with the same name, a company Apple would later acquire.” Read more

Photo courtesy: Flickr/CollegeDegrees360

Was one of your New Year’s resolutions to build up your knowledge, skills and talents for the new digital world? If so, there are plenty of online options to help you achieve your goals, and at no cost to you, from the crop of MOOCs (massive open online courses) that’s sprung up.

The Semantic Web Blog scoured some of them to present you with some possible courses of study to consider in pursuit of your goals:

Coursera:

• Data scientists-in-training, Johns Hopkins Bloomberg School of Public Health assistant professor of biostatistics Jeff Leek wants to help you get a leg up on Big Data – and the job doors that understanding how to work with it opens up – with this applied statistics course focusing on data analysis. The course notes that there’s a shortage of individuals with the skills to find the right data to answer a question, understand the processes underlying the data, discover the important patterns in the data, and communicate results to have the biggest possible impact, so why not work to become one of them and land what Google chief economist Hal Varian reportedly calls the sexy job for the next ten years – statistician (really). The course starts Jan. 22.
• We’ve seen a lot about robots in the news over the last month, from the crowd-funded humanoid service robot Roboy, the brainchild of the Artificial Intelligence Laboratory of the University of Zurich, to Vomiting Larry, a projectile vomiter developed to help scientists to better understand the spread of noroviruses. If you’d like to learn about what’s behind robots that can act intelligently (sorry, Larry, but you might not qualify here), you want to learn more about AI. And you can, with a course starting Jan. 28 taught by Dr. Gerhard Wickler and Prof. Ausin Tate, both of the University of Edinburgh.
• Siri, where can I go to find out more about natural language processing? One option: Spend ten weeks starting February 11 learning about NLP with Michael Collins, the Vikram S. Pandit Professor of Computer Science at Columbia University. Students will have a chance to study mathematical and computational models of language, and the application of these models to key problems in natural language processing, with a focus on machine learning methods.

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John Markoff of The New York Times reports, “Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs. The advances have led to widespread enthusiasm among researchers who design software to perform human activities like seeing, listening and thinking. They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.” Read more

Mark Sullivan of PC World recently posed the question, why doesn’t Microsoft have an answer to Siri built into Windows 8? He writes, “Windows 8 is supposed to be Microsoft’s majestic OS reseta dramatic overhaul designed to usher the Windows platform into the age of mobility. And Windows 8 is also Microsoft’s bid to achieve feature parity with iOS and Android, the other two OS powerhouses in the mobile universe. But one key feature–one hot, relevant, rock-star-caliber feature–is conspicuously absent from the Windows 8 repertoire: Intelligent, semantically aware voice control is nowhere to be found in the new OS.” Read more