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Second Spectrum and L.A. Clippers Select AWS as Official Cloud and Machine Learning Provider of Clippers CourtVision

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The Clippers and Second Spectrum will use AWS machine learning and data analytics services to advance game analyses and drive new experiences for Clippers CourtVision, which launched to great acclaim at the start of the 2018-19 basketball season and has been billed by experts as the future of sports viewing. In addition, Clippers CourtVision will test Amazon SageMaker to build, train, and deploy machine learning-driven stats which will appear on live broadcasts and on-demand NBA game videos. Second Spectrum uses cameras in all 29 NBA arenas to collect 3D spatial data including ball and player locations and movements, which is stored and analyzed on AWS in real time. With help from AWS's broad range of services, Second Spectrum uses that data to generate augmented graphical overlays on Clippers broadcasts in real time, offering users an array of content options and Clippers CourtVision Modes with features ranging from live layouts of basketball plays, to the frame-by-frame probability of a shot going in, to a suite of graphics that animate based on conditions both simple and complex, giving fans a deeper understanding of and interaction with the game as the action unfurls on the court. Clippers CourtVision uses AWS Elemental Media Services to deliver the live game-watching experience.


Tech Review Analysts Giving Up On Bitcoin & Cryptocurrency

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Tech Review (TR 2019-02-02)--Domain Mondo's weekly review of tech investing news: Features • 1) Giving Up On Bitcoin & Cryptocurrency, 2) Amazon Alexa And Google Assistant Becoming Omnipresent, 3) Investing: The Week & Notes: WEF, EU, Brexit, US, 4)ICYMI Tech News: Facebook, Nvidia, Twitter, Google, Oracle, Huawei, China VC, Microsoft, Amazon, Startup Starbreeze Implodes, Personal Tech: Chromebooks vs Windows? 1) Giving Up On Bitcoin & Cryptocurrency Bitcoin in $US Bitcoin Volatility Problematic For Analysts: Crypto enthusiasts such as Mike Novogratz made wild predictions on Bitcoin's price in 2018, most of which proved wrong. Tom Lee of Fundstrat said Bitcoin would hit $25,000 by end of 2018. Now, Lee, and others, are not making timing calls at all. However, Ripple CEO says decentralized payment systems are likely to win: Ripple's Brad Garlinghouse discusses blockchain technology and cryptocurrencies at a CNBC-hosted panel in Paris. CNBC International TV video above published Jan 31, 2019.


AI programming startup Kite raises $10M to make developers more productive - SiliconANGLE

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Artificial intelligence programming startup Kite has raised $10 million in new funding to expand its research-and-development team and build new features to make developers more productive. The round was led by Trinity Ventures with personal participation from GitHub Chief Executive Officer Nat Friedman. Several sites are reporting that the round was $17 million, but the company says the new funding was $10 million, bringing total funding to $17 million. Founded in 2014, Kite offers an AI platform that is pitched as an "artificial pair programmer." Catering to Python coding, Kite shows users examples and documentation for libraries and terminal commands used in the coding process.


Kong adds new AI-powered tools to ease API management - SiliconANGLE

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Application programming interface management company Kong Inc. today updated its platform with new artificial intelligence- and machine learning-powered tools designed to help automate the management of API lifecycles. The new tools, Kong Brain and Kong Immunity, will be integrated into the Kong Enterprise API platform, which serves as a foundation for developers looking to build a cloud-native, microservices-based information technology architecture. Kong, which has raised $26 million from prominent investors that include Andreessen Horowitz LLC, Charles River Ventures LLC and Amazon.com Inc. Chief Executive Jeff Bezos, is one of several companies that are attempting to cash in on the raging popularity of APIs, which allow applications to talk to each other. Kong's API management platform works by exposing services and legacy applications as APIs and also helps to scale up and secure those interfaces as developers rebuild apps on a microservices-based architecture.


The New AI Tech Turning Heads in Video Manipulation

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A new technique using artificial intelligence to manipulate video content gives new meaning to the expression "talking head." An international team of researchers showcased the latest advancement in synthesizing facial expressions--including mouth, eyes, eyebrows, and even head position--in video at this month's 2018 SIGGRAPH, a conference on innovations in computer graphics, animation, virtual reality, and other forms of digital wizardry. The project is called Deep Video Portraits. It relies on a type of AI called generative adversarial networks (GANs) to modify a "target" actor based on the facial and head movement of a "source" actor. As the name implies, GANs pit two opposing neural networks against one another to create a realistic talking head, right down to the sneer or raised eyebrow.


LG unveils radical TV you can ROLL UP like poster and says it'll finally go on sale this year

Daily Mail

At the Consumers Electronics Show on Monday, the South Korean tech giant took the wraps off the Signature Series OLED TV R, its first-ever OLED television with a screen that can roll itself up and is also voice-activated. After the prototype was teased in 2018, LG announced today that the rollable TV will finally hit the shelves this year, with a launch date expected sometime in the spring. LG didn't disclose pricing details about the rollable TV. The OLED TV R is designed to be in the room when you want it and disappear when you don't, with three different modes that let users decide the size of the screen. 'LG's rollable OLED TV is a true game-changer, freeing users from the limitations of the wall and allowing them to curate their own personal space,' the company explained.


Coming Soon: A Home Security System Powered by AI & 24/7 Video Monitoring Guards

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Deep Sentinel is a new disruptive entrant to the smart home security market that installing security contractors will be wise to keep watch on. I first got wind of Deep Sentinel in 2017 after the startup publicized it had closed a $7.4 million Series A venture funding round to fuel development of its smart home video surveillance system. The company touted it was developing security cameras powered by machine learning to evaluate threats on a property in real time. The application of artificial intelligence (AI) in the residential space seemed to be coming to fruition, but also noteworthy were the investment players. The funding round was led by Shasta Ventures -- well-known for hedging its bets in Nest before it was snapped up by Google -- and included Bezos Expeditions, which manages none other than Jeff Bezos' personal venture capital investments.


Cherry Labs raises $5.2 million for AI that detects when elderly users fall

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Falls are the leading cause of injury among people 65 and older. Approximately 9,500 deaths in older Americans are associated with trips or stumbles each year, and on average, folks between the ages of 65 to 69 suffer a hip fracture one out of every 200 falls. More worryingly, as a result, 20 to 30 percent experience moderate to severe complications that can cause disability. Cherry Labs, a Cupertino startup founded in 2016 by entrepreneurs Max Goncharov, Stas Veretennikov, and Nick Davidov, aims to prevent those sorts of injuries with an artificially intelligent (AI) in-home system -- Cherry Home -- that's able to detect and track users with vision sensors and microphones. It today announced a $5.2 million funding round led by GSR Ventures, which it says will fuel a pilot program set to kick off in the coming weeks with TheraCare, a caregiving service, and TriCura, a tech platform that uses mobile apps to capture and share information among families, caregivers, and agencies.


Why It's Hard to Escape Amazon's Long Reach

WIRED

In 1994, soon after Jeff Bezos incorporated what would become Amazon, the entrepreneur briefly contemplated changing the company's name. The nascent firm had been dubbed "Cadabra," but Bezos wanted a less playful, more accurate alternative: "Relentless." Twenty-four years later, perhaps no adjective better describes Bezos' empire than the name he once wanted to give it. The company is known as the "everything store," but in its dogged pursuit of growth, Amazon has come to dominate more than just ecommerce. Amazon is a fashion designer, advertising business, television and movie producer, book publisher, and the owner of a sprawling platform for crowdsourced micro-labor tasks.


A Look Ahead: Where Artificial Intelligence May Take Journalism in 2019

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The Washington Post, Associated Press, and Reuters are just a few of the industry leaders who turned to AI in 2018. Publishers who adopted AI and machine-learning tools have seen results. Last year, Digiday reported The Washington Post's robot reporter published 850 stories in a year. Next year, the global media industry will begin to use these new tools at a faster rate. Here are a few current stories on AI that will have real implications for journalism in 2019.