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Pornhub is using machine learning to automatically tag its 5 million videos

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Artificial intelligence has proven to be a dab hand at recognizing what's going on in photos and videos, but the datasets it's usually trained on are pretty genteel. Not so for Pornhub, which announced today that it's using machine learning to automatically catalog its videos. The site is starting small, deploying facial recognition software that will detect 10,000 individual porn stars and tag them in footage. It plans to scan all 5 million of its videos "within the next year," and then move onto more complicated territory: using the software to identify the specific categories videos belong to, like "public" and "blonde." In a press statement, Pornhub VP Corey Price said the company was joining the trend of firms using AI to "expedite antiquated processes."


Frost & Sullivan Names IntelliVision the 2017 Entrepreneurial Company

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IntelliVision, a pioneer and leader in AI/Deep Learning video analytics software for smart cameras, announced today that it has been named the 2017 Entrepreneurial Company of the Year for Security Intelligence and Video Analytics by leading analyst firm Frost & Sullivan. "Video analytics and intelligence functions will remain the most in-demand security technology segment for customers looking to modernize their security operations and increase overall efficiency," said Danielle VanZandt, security industry analyst with Frost & Sullivan. "IntelliVision's advanced analytics and intelligence technologies, coupled with its ability to deploy inside the camera, on-premise servers, or on the cloud put it well ahead of its competition in this field." "We are honored to receive this award from Frost & Sullivan," said Vaidhi Nathan, IntelliVision's CEO. "It is a vindication of our many years of research, development and customer service in the growing field of AI-based video analytics for smart cameras."


Fujitsu Highlights Advances in AI, Robotics, Cloud and Human-centric Digital Innovation at Oracle OpenWorld 2017

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With its overarching theme of Human Centric Innovation: Digital Co-Creation, the Fujitsu booth (#3107) emphasizes business innovation, digital platforms, enterprise productivity and enterprise applications. Fujitsu SPARC M12 Servers Fujitsu SPARC M12 servers are For more information, please visit: http://www.fujitsu.com/sparc/ About Fujitsu Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Fujitsu enables clients to meet their business objectives through integrated offerings and solutions, including consulting, systems integration, managed services, outsourcing and cloud services for infrastructure, platforms and applications; data center and field services; and server, storage, software and mobile/tablet technologies. Oracle, Oracle OpenWorld, Oracle PartnerNetwork are trademarks or registered trademarks of Oracle Corporation in the United States and other countries.


Fujitsu Highlights Advances in AI, Robotics, Cloud and Human-centric Digital Innovation at Oracle OpenWorld 2017

#artificialintelligence

With its overarching theme of Human Centric Innovation: Digital Co-Creation, the Fujitsu booth (#3107) emphasizes business innovation, digital platforms, enterprise productivity and enterprise applications. Fujitsu SPARC M12 Servers Fujitsu SPARC M12 servers are For more information, please visit: http://www.fujitsu.com/sparc/ About Fujitsu Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Fujitsu enables clients to meet their business objectives through integrated offerings and solutions, including consulting, systems integration, managed services, outsourcing and cloud services for infrastructure, platforms and applications; data center and field services; and server, storage, software and mobile/tablet technologies. Oracle, Oracle OpenWorld, Oracle PartnerNetwork are trademarks or registered trademarks of Oracle Corporation in the United States and other countries.


How Sonos Made Amazon's Alexa Sound Amazing

WIRED

But when Sonos started working on integrating Alexa into its multi-room wireless music system a year and a half ago, though, that setup posed a problem. Alongside the new speaker, Sonos also announced today that by 2018 it will support both Google Assistant and AirPlay 2, allowing Sonos users to query Google, use Siri to control their speakers, and to stream tracks from their iPhones. Sonos could have built an Alexa skill to let you control volume, change songs, and hear everything through your Sonos speakers. And so while Sonos improved its speakers, Amazon worked on making Alexa an even better DJ.


BlackBerry shares soar by 12% as software sales hit record

The Guardian

The transformation of BlackBerry from a bombed-out, loss-making smartphone maker to a new-look software firm appears to be working: the Canadian business has reported better-than-expected quarterly profits, boosting its shares by more than 12%. The company, which was famous for its tiny keyboard phones and in 2010 had more than a third of the US smartphone market, was almost driven to extinction by the iPhone. John Chen, chief executive, told analysts on Thursday that he expected BlackBerry to earn $5 to $25 a car as it expands into more advanced self-driving vehicles. Most of BlackBerry's revenue now comes from managing phone systems for other businesses, but it expects the car industry and industrial applications to drive future growth.


Ford and Lyft team up to put driverless cars on the road

Los Angeles Times

Ford will begin testing self-driving cars on ride-hailing company Lyft's network with human drivers at the wheel for backup, the companies said late Tuesday. Ford also plans to test self-driving cars on the Lyft network with no human in the driver's seat. Earlier this month, a Silicon Valley startup said it would partner with Lyft to test driverless cars in San Francisco, with human drivers at the wheel. Lyft offers automakers and technology companies millions of miles of experience, and in return the ride-hailing company gets to avoid the capital expense of building driverless cars itself.


Artificial Intelligence, Machine Learning, and Deep Learning: A Primer for Investors @themotleyfool #stocks $GOOGL, $NVDA, $GOOG

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Instead of preprogramming software to complete a specific task, as narrow AI does, machine learning uses algorithms that allow a computer to learn from the vast amounts of data it receives so it can complete a task on its own. International Business Machines uses deep learning powered by NVIDIA's graphics processing units (GPUs) to comb through medical images to find cancer cells. The company makes the graphics processors that are integral in AI, machine learning, and deep learning, and lots of companies already look to NVIDIA's hardware to make their AI software a reality. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon, Facebook, and Nvidia.


Amazon Is Scouring the Globe for AI Talent @themotleyfool #stocks $GOOGL, $AMZN, $GOOG

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Earlier this year, Alphabet Inc. (NASDAQ:GOOGL) (NASDAQ:GOOG), a pioneer in the AI revolution, revealed that it would launch Google Brain Toronto, the second such research facility in the Great White North. Amazon has revealed plans to build a new AI research hub in Barcelona, Spain, which will be located in the city's 22@ start-up district, and plans to hire more than 100 scientists and software engineers to staff the facility over time. Earlier this year the company expanded its research and development center in Cambridge, England, by adding a 60,000-square-foot facility to house over 400 "machine learning scientists, knowledge engineers, data scientists, mathematical modelers, speech scientists, and software engineers" according to a press release. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), and Amazon.


Natural Language Processing Market to Reach $22.3 Billion by 2025

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The concept behind NLP is simple: if and when machines can understand and communicate with humans in natural (human) language, it democratizes data science, enabling humans to access, analyze, and leverage data more intelligently and become more efficient as they offload redundant, data-heavy tasks to machines. The market intelligence firm anticipates that NLP software deployments will drive significant additional sales of hardware and professional services, bringing the total NLP software, hardware, and services market opportunity to $22.3 billion by the end of the forecast period. Tractica's report, "Natural Language Processing", examines 42 NLP use cases, identifying those applications best suited for commercial use. In addition, the report details the market trends and technology issues surrounding natural language processing and presents 10-year forecasts for NLP hardware, software, and services during the period from 2016 through 2025.