AnyVision AI startup locks in $28M for its body and facial recognition tech


As image recognition advances continue to accelerate, startups with a mind towards security applications are seeing some major interest to turn surveillance systems more intelligent. AnyVision is working on face, body and object recognition tech and the underlying system infrastructure to help companies deploy smart cameras for various purposes. "It's not just how accurate the system is, it's also how much it scales," Etshtein tells TechCrunch. "You can put more than 20 concurrent full HD camera streams on a single GPU." The Tel Aviv-based AI startup announced today that it has closed a $28 million Series A funding round led by Bosch.

AthenasOwl Announces AI Powered FIFA World Cup 2018 'Brand Rankings'


AthenasOwl (AO), an Artificial Intelligence for media solution, announces the launch of the'FIFA WC '18 Brand Rankings', where it ranks the top sponsors based on their screen presence during the live broadcast of the matches. Besides overall visibility, the rankings also provide brands with additional information on the field positioning where they were most visible, their visibility levels during match highpoints such as goals and substitutions, and how brands' ranking progressed through the tournament. "AO was born out of our belief that AI can be used to empower content creators, broadcasters and brands to understand and analyze video content better, and additionally identify important micro-moments. With the FIFA World Cup'Brand Rankings' we want to demonstrate how AI technology has evolved to analyze hours of video content and generate interesting insights, something that wasn't possible earlier" says Vivek Khemani, Co-founder of Quantiphi. He adds "Based on the data that the tagging engine is generating every day, we are publishing interesting trends in the rankings for the group and knockout stage matches" AO will be analyzing brand visibility through the FIFA World Cup and publishing rankings on

TRIFECTA: Artificial Intelligence, Blockchain Tech, Cannabis Legalization - Mega IPO!


Globalive stock tickers are TSX-V:LIVE and OTC:LVVEF Blockstrain stock tickers are TSX-V:DNAX and OTC:BKKSF Disclaimer: This video may contain forward-looking statements, including, without limitation, statements containing the words "believes", "expects", "plans", "estimates" and similar expressions. Such forward-looking statements involve known and unknown risks, uncertainties and other factors which might cause the actual results, financial condition, performance or achievements of Globalive Technology Inc. or Blockstrain Technology Corp., or industry results, to be materially different from any future results, financial conditions, performance or achievements expressed or implied by such forward-looking statements. Given these uncertainties, the audience is advised not to place any undue reliance on such forward-looking statements. These forward-looking statements speak only as at the date of this video. Globalive Technology Inc. and Blockstrain Technology Corp. expressly disclaim any obligation to update any such forward-looking statements in this video to reflect any change in its expectations with regard thereto or any change in events, conditions or circumstances on which any such statement is based, unless required by law or regulation.

CrowdOptic Discussing Intel Alliance, Artificial Intelligence, and Intelligent Live Streaming at Intel Global IoT Dev Fest III


Entitled "Bringing AI and Intelligent Live Streaming to the Smart City," this presentation will be led by key members of CrowdOptic's technical team: Richard Smith, VP of Product, Austin Markus, VP of CrowdOptic Labs, and Joshua Davis, Principal Director of Engineering. There are already hundreds of thousands of cameras in many smart cities, but how intelligent are their video cameras and video management systems? This session will dig into the use of artificial intelligence to control cameras, and will explain how sensor data can be used to analyze video stored at the edge. CrowdOptic Intersect APIs expose developers to triangulation and cluster detection algorithms, guiding them through the basics of how CrowdOptic works with camera lines of sight to bring artificial intelligence to the smart city. A quick demonstration will drive home the depth of these APIs, showing how smart phones leverage cameras in the smart city to effectively look through walls and around corners.

Google Says It Won't Allow Its Artificial Intelligence in Military Weapons


In a new 8,000-word set of ethicals principles and guidelines, Google outlined how it plans to manage--and in some cases limit--the application of artificial intelligence, a powerful and emerging set of technologies that Google views as key to its growth. Google, the primary business unit of Alphabet Inc., GOOGL -1.09% has recently come under criticism from its own employees for supplying image-recognition technology to the U.S. Department of Defense, in a partnership called Project Maven. Google told employees earlier this month it wouldn't seek to renew its contract for Project Maven, a person familiar with the matter said at the time, and that decision in turn was blasted by some who said the company shouldn't be conflicted about supporting national security. Google's artificial intelligence also recently generated public alarm after the company demonstrated a robotic voice that can trick humans into thinking it is real. Google is having to expand its definition of ethics as its technology seeps more and more into the institutions of public life, from scientific research to military intelligence.

Comcast's Q1 strong as business and high-speed Internet services offset cord cutting


Comcast continued to shed video customers in the first quarter, but is more than offsetting the slide with high-speed Internet and business services. In the first quarter, Comcast reported net income of $3.12 billion, or 66 cents a share, on revenue of $22.79 billion, up 10.7 percent from a year ago. Excluding items, Comcast reported earnings of 62 cents a share in the first quarter. Wall Street was expecting Comcast to report first quarter earnings of 59 cents a share on revenue of $22.75 billion. There are multiple moving parts in Comcast, but Comcast Business is growing the fastest.

YouTube Touts Machine Learning In Battle Over Inappropriate Content


YouTube parent company Google on Monday released what it said would be the first quarterly report outlining efforts to enforce its community guidelines. The report, which looked at the last quarter of 2017, said that it removed eight million videos from YouTube during the quarter, adding that the videos it removed "were mostly spam or people attempting to upload adult content." Of note, however, is that YouTube's machine-learning algorithm spotted the overwhelming majority of the content. During the company's quarterly earnings call Monday, Google CEO Sundar Pichai said that "over six million videos removed in Q4 were first flagged by our machine systems, and over 75% of those videos were removed before receiving a single view." The company introduced its machine flagging in June, 2017.

IndigoVision's Artificial Intelligence expanding to include latest security features


IndigoVision has announced that the next release of their Artificial Intelligence powered by BriefCam will include the latest security features in the industry, and will be launched within the coming weeks, additional to it being previewed at ISC West 2018 in Las Vegas. IndigoVision's Artificial Intelligence powered by BriefCam allows IndigoVision customers to quickly and easily review hours of footage in minutes, rapidly identifying people and objects of interest by object type, attribute, direction, color or size. The recently announced BriefCam v5 introduces new capabilities across all three of the platform's seamlessly integrated modules, delivering a powerful approach to making video searchable, actionable and quantifiable. The new version enables customers to rapidly realize both the security and business value their surveillance system can provide by innovatively harnessing the process-once-use-many paradigm throughout the platform. These new features and capabilities are directly aligned with IndigoVision's offering, providing customers with statistical analysis reports, business intelligence insights, as well as multi-camera search and facial recognition.

Amagi launches Tornado, a machine learning augmented content preparation suite


Amagi, which deals in cloud-based technology for media processing, has announced the launch of Tornado, a machine learning-based content preparation service that enables TV networks and content owners to scale their operations, accelerate broadcast workflows, generate new revenues and reduce operational costs. Tornado is a first-of-its-kind, cloud-based machine learning-augmented content preparation suite that tackles content preparation challenges head-on. Amagi Tornado is conceptualised as a suite of machine learning-based content preparation services that dynamically evolves as machines learn more about each segment of a video asset as they process higher volumes of content. Tornado can cater to the unique preparation needs of TV networks, content owners, vMVPD platforms, and digital-first networks with the company planning to continually expand the suite functionality and capabilities to optimise the entire broadcast workflow. Factory-scale VOD segment creation: Linear broadcast model is highly reliant on sophisticated processing of video for ad break points identification, credits, color bars and blacks.

Google's DeepMind opens new AI lab in Paris - SiliconANGLE


DeepMind Technologies Inc., the machine learning company owned by Alphabet Inc., announced today that it's opening a new artificial intelligence lab in Paris. The new lab will be headed by Remi Munos (pictured), a French native and senior researcher at DeepMind who has authored 150 research papers. In an announcement video, Munos said Paris is a perfect fit for DeepMind's next lab because the city has a thriving AI and machine learning ecosystem that's still growing. "Effectively, there are a large number of research labs in universities, engineering schools and public research centers together with a large number of AI startups who have appeared, as well as large companies that are setting themselves up," said Munos. "Joining this network is a very positive move for DeepMind, to collaborate with this scientific community in order to contribute to research and also to teach students."