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Online Data Mining and Machine Learning

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Edo Liberty is the head of Yahoo's Independent Research in New York which focuses on scalable machine learning and data mining for Yahoo's critical applications. After co-founding a NY based company in 2009 he joined Yahoo. His personal research focuses on streaming and online algorithms, machine learning, and large scale data mining. Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community.


IIoT Top News: Machine Learning @ThingsExpo #IoT #M2M #IIoT #MachineLearning

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Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let's start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as "something used for automated data transmission and measurement between mechanical or electronic devices."


Getting Graphics Chips to Think on Their Own

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Nvidia's microprocessors have long been the chips of choice for computer game addicts who crave realistic graphics as they chase aliens or battle enemy soldiers. The same powerful semiconductors are now being put to new uses at companies including Alibaba, Facebook, Google, and Microsoft. Nvidia's graphics chips underpin speech recognition systems, software to develop gene therapies, and programs that transform satellite photos into detailed maps. Researchers at DeepMind, a Google-owned lab in London, harnessed thousands of Nvidia's K40 graphics processors, which cost 3,000 apiece, to train a computer to play Go, an ancient board game. In what was praised as a milestone in artificial intelligence, DeepMind's machine beat a European Go champion in five out of five matches last year.


IBM CEO: Cognition is the next big business disruptor

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In just five years, every important decision made by businesses will be aided by cognitive systems that understand, learn and augment our decision making, according to IBM's chairman and CEO, Ginni Rometty. Speaking at the vendor's Thinkforum in Sydney on Tuesday, Rometty proclaimed the world is on the cusp of the next disruptive wave of technology driven by cognitive platforms that can take massive stores of data within an organisation and turn it into competitive advantage. "Regardless of role, every industry will be disrupted," she told attendees. "Every industry has its Uber or Tesla, and many people say they are going to be a technology company of some kind. An important question is: When everyone is digital, who wins? "Digital for all has to be the foundation, but it's not the destination.


My Favorite Room: Jeff Dunham puts his toys to work

Los Angeles Times

He moves," said Dunham, 54, who bought the 7,200-square-foot Calabasas home with his wife two years ago. Bookshelves house rows of toys; some are keepsakes from Dunham's childhood and college years, others are more recent purchases to replace toys he always wanted or those that were lost to time or one of his mother's decluttering sprees. The puppeteer was named Forbes' fourth-highest-grossing comedian last year and is currently on tour, performing 10 to 12 shows a month. Many of the jokes I write and the bits and the routines I come up with are born in this office. The dummies are created here.


Correction: Windows 10 Anniversary story

Boston Herald

In a story June 29 about Microsoft's Windows 10, The Associated Press misspelled the name of a woman who sued Microsoft in small claims court. She is Teri Goldstein, not Terri. The story also provided an incorrect age for Goldstein. She declined to give her age for publication. SAN FRANCISCO (AP) -- Microsoft has a birthday present for Windows 10 users: more capabilities for its Cortana digital assistant and new ways to ditch passwords.


A doctor's digital assistant

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Talking to WIRED before his speech at WIRED Health, Kyu Rhee, IBM's chief health officer, took from his pocket one of the iconic pieces of medical equipment: the stethoscope. The stethoscope is celebrating its 200th anniversary โ€“ the first, monaural version was created by the French doctor Renรฉ Laennec. Despite technical advances โ€“ and the rise of other non-invasive techniques for internal examination โ€“ the stethoscope still means "doctor": according to a 2012 research paper, carrying a stethoscope makes a practitioner seem more trustworthy than any other piece of medical equipment. "It's amazing how medicine in some ways still leverages this piece of technology," said Rhee. "But I believe that in the next 200 years a cognitive system like Watson will be a part of every healthcare decision, for every stakeholder." IBM Watson's cognitive approach to computing absorbs data โ€“ structured and unstructured โ€“ and produces answers.


Keep a close eye on AI's evolution The Japan Times

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Artificial intelligence is making rapid progress and has the potential to bring huge benefits to many aspects of our lives, including improved services for sick, elderly or disabled people, disease diagnosis, development of new medicines, perfecting driverless vehicles and resolving problems related to climate change. While AI is expected to contribute to enhancing people's well-being and happiness, it has the potential of doing harm or being used for unethical purposes. The government, scientists, engineers and businesspeople involved in applying AI should push discussions on such questions as the relationship between AI and people and society, and ethical issues involved in the use of AI. Particularly important will be to deepen discussions on how to prevent harm caused by the wrongful use of AI. Such discussions will be indispensable to building public trust in AI and robots.


Chatbots are not as A.I.-driven as you might think (yet)

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Consumer interests have changed, and they will keep changing. Social media switched the balance of power away from company-controlled communication and into the consumer camp -- not just in-the-moment, but precisely at their moment, on their devices, on the channels they choose. But with the advent of messaging and the recent injection of A.I. into messaging platforms in the form of chatbots, it's more than just communication that is shifting -- it's the entire way people and businesses interact. While messaging platforms are the future of consumer-brand engagement, A.I. technology is in its infancy as it relates to truly engaging with humans. There is a long way to go before people are having open-ended conversations with chatbots that don't end in disappointment. Before I explain my point, here's some background on messaging apps.


Security News This Week: Hero Chatbot Lawyer Overturns 160,000 Parking Tickets

WIRED

It was a week marked by some innovative hacks in the security world. After a slew of hi-profile Twitter account takeovers, we talked to OurMine, the group responsible. Researchers found a way to glean data from an air-gapped laptop by modulating the fan. And we took a look at why two-factor authentication using text messages doesn't add as much protection as you think. Symantec turns out to be riddled with vulnerabilities, as is often the case with antivirus software.