Posts Tagged ‘Machine Learning’

Machine Learning’s Future: Fortune 500 Buys In, Manufacturing Sees The Light

STServerMartin Hack, CEO and co-founder of machine learning company Skytree, has a prediction to make: “In the next three to five years we will see a machine learning system in every Fortune 500 company.” In fact, he says, it’s already happening, and not just among the high-tech companies in that ranking but also among the “bread and butter” enterprises.

“They know they need advanced analytics to get ahead in the game or stay competitive,” Hack says. For that, he says, they need machine learning algorithms for analyzing their Big Data sets, and they need to be able to deploy them quickly and easily — even if those who will be doing the deployments are coming from at best a background of basic analytics and business intelligence.

“There just aren’t enough data scientists to go around,” he says. It’s very tough to fill those roles in most companies, he says, “so like it or not, we have to make it much, much easier for people to digest and use this.”

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Soon, Your Phone Will Read Facial Expressions Better Than You

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Nick Stockton of Quartz reports, “Computers stole your job; now they know your pain. Using a combination of facial recognition software and machine learning algorithms, researchers have trained computers to be dramatically better than humans at reading pained facial expressions. And they’re working on new programs to help clue you into what your friend, coworker, or client is feeling. In a study released Friday (paywall) in the journal Current Biology, researchers asked 170 subjects whether the expressions of pain shown on faces in a series of videos were real or faked. They found that the humans’ collective empathetic ability was about the same as a coin flip—they read the expressions correctly only 50% of the time. Even after researchers trained the subjects to read the subtle, involuntary muscle triggers that experts use to tell when an emotion is being faked, they were only right 55% of the time.” Read more

Why Artificial Intelligence is the Next Tech Trend

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Dominic Basulto of The Washington Post recently wrote, “For more than 50 years, we’ve been hearing about the promise of artificial intelligence and intelligent machines, but most of the big success stories to date – the IBM Watsons of the world – have been the result of massive efforts by universities and corporate R&D labs rather than by emerging start-ups. That could change soon, as artificial intelligence shows signs of becoming the next big trend for tech start-ups in Silicon Valley. First of all, there’s the anecdotal evidence about deals getting done for promising new AI startups. One of the most talked about VC deals in March, for example, was a $40 million round for Vicarious FPC, an artificial intelligence company that had so much hype around it that the biggest names of the tech world – including Mark Zuckerberg and Elon Musk (and Ashton Kutcher) – lined up to participate.” Read more

Multi-Screen Advertising Platform EngageClick Emerges from Stealth Mode

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PALO ALTO, Calif., March 25, 2014 /PRNewswire-iReach/ — EngageClick (http://www.engageclick.com), the predictive and personalized multi-screen advertising platform that delivers superior ad engagement and performance, emerged out of stealth mode today. The EngageClick ad platform differentiates itself by applying data-driven technology that uses cognitive science, machine-learning technology and big data analytics to perform predictive segmentation, and subsequently delivers dynamic smart ads with automatic and incremental optimization across multiple screens. EngageClick maximizes advertiser ROI and increases media yield, helping ad agencies and brands increase consumer engagement and ad performance, at scale. Read more

DARPA Awards $1.4M Grant to IU Informatics Professor for Streamlining Programming

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BLOOMINGTON, Ind. — By understanding, managing and inferring patterns from data, machine learning has brought us self-driving vehicles, spam filters and smartphone personal assistants. Now an Indiana University Bloomington computer scientist has received $1.4 million to give machine learning more muscle by making it applicable to greater amounts of more diverse data.

 

Chung-chieh “Ken” Shan, an assistant professor in the School of Informatics and Computing, will receive the funding from the U.S. Defense Department’s Defense Advanced Research Projects Agency over 46 months. Read more

Machine Learning: Why It Matters

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Martin Hack of Wired recently wrote, “When Amazon recommends a book you would like, Google predicts that you should leave now to get to your meeting on time, and Pandora magically creates your ideal playlist, these are examples of machine learning over a Big Data stream. With Big Data projected to drive enterprise IT spending to $242 Billion according to Gartner, Big Data is here to stay, and as a result, more businesses of every size are getting into the game. To many enterprise organizations Big Data represents a strategic asset — it reflects the aggregate experience of the organization. Each customer, partner, or supplier response or non-response, transaction, defection, credit default, and complaint provides the enterprise the experience from which to learn.” Read more

Will a Robot Be Doing Your Job in 20 Years?

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The Times of India recently wrote, “Who needs an army of lawyers when you have a computer? When Minneapolis attorney William Greene faced the task of combing through 1.3 million electronic documents in a recent case, he turned to a so-called smart computer programme. Three associates selected relevant documents from a smaller sample, ‘teaching’ their reasoning to the computer. The software’s algorithms then sorted the remaining material by importance. ‘We were able to get the information we needed after reviewing only 2.3% of the documents,’ said Greene, a Minneapolis-based partner at law firm Stinson Leonard Street LLP. Artificial intelligence has arrived in the American workplace, spawning tools that replicate human judgments that were too complicated and subtle to distill into instructions for a computer. Algorithms that ‘learn’ from past examples relieve engineers of the need to write out every command.” Read more

More Efficient Meetings with Gridspace’s NLP Technology

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Ryan Lawler of Tech Crunch reports that Gridspace “has created an application based on technology that automatically saves and indexes meeting conversations. But the big breakthrough is that, though the magic of machine learning and natural language processing, it can determine which parts of the meeting conversations were most important. I got a demo of the technology at work, with Gridspace CEO Evan Macmillan showing off a beta version of the company’s app for our presentation. With the app open, he walked me through the basics, occasionally telling the app to ‘remember’ certain interesting aspects.” Read more

Facebook’s DeepFace Matches Faces Almost as Well as Humans

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Tom Simonite of the MIT Technology Review reports, “Asked whether two unfamiliar photos of faces show the same person, a human being will get it right 97.53 percent of the time. New software developed by researchers at Facebook can score 97.25 percent on the same challenge, regardless of variations in lighting or whether the person in the picture is directly facing the camera. That’s a significant advance over previous face-matching software, and it demonstrates the power of a new approach to artificial intelligence known as deep learning, which Facebook and its competitors have bet heavily on in the past year.” Read more

Wise.io Raises $2.5 Million to Bring Machine Learning to Customer Experience

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BERKELEY, CA–(Marketwired – Mar 17, 2014) –  Wise.io today announced that it has raised $2.5 million in Series A funding led by Voyager Capital and named predictive analytics technology industry veteran Jeff Erhardt as CEO. Company co-founder Joshua Bloom will assume a new role as CTO leading the technology direction for Wise.io.

 

Machine Learning is unquestionably the future of advanced analytics for the enterprise. When I first met Wise.io, I was struck by the caliber of the team and the unequaled performance of their core technology,” said Daniel Ahn, managing director at Voyager Capital who joined the Wise.io board as part of the transaction. ”Ultimately, what distinguished Wise.io from the other vendors and compelled us to invest was their focus on providing a complete turnkey product that was easily accessible to business users.” Read more

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