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There was always that one kid in high school that could forge his mom's signature. Sick and "get out of school early" notes. Data analytics company BeyondCore has been acquired by Salesforce for an undisclosed sum. Liveuamap is opendata-driven media platform that change the way you receive latest news. Japan lags Silicon Valley in conventional internet services but could become a global leader in the deep-learning technology of artificial intelligence, a leading AI expert has said.

The campaign execution, testing, optimization and analysis work that marketers are required to perform manually today has grown too immense for them to handle effectively. Artificial intelligence marketing is a real solution to the nearly impossible challenges facing marketing professionals everywhere. Marketers today must coordinate their campaigns for dozens of devices, technologies, and channels, meeting individual users with messaging relevant to who they are and what they want. Achieving that near 1:1 consumer targeting takes plenty of data from each relevant channel -- it takes so much data, in fact, that dealing with it effectively has become an almost impossible challenge for most organizations. The overwhelming response to the problem of big data overload has been to adopt a wide array of software tools to organize information and surface insights.

CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today announced that Novatek Microelectronics, Taiwan's 2nd largest fabless IC design house, has licensed and deployed the CEVA-XM4 intelligent vision DSP for its next-generation vision-enabled System-on-Chips (SoCs) targeting a range of end markets requiring advanced visual intelligence capabilities. Novatek's current camera SoC lineup for car DVR and surveillance systems integrates the 3rd generation CEVA-MM3101 imaging & vision DSP and is shipping in volume. By integrating CEVA-XM4 as a dedicated vision processor in their next-generation SoC designs, Novatek and its customers can rapidly deploy highly-sophisticated vision algorithms to enable advanced applications such as surveillance systems with face detection and authentication, drone anti-collision systems and advanced driver assistance systems (ADAS). These types of applications are built utilizing CEVA's Deep Neural Network (CDNN2), a proprietary software framework that enables deep learning tasks to run on the CEVA-XM4 and outperform any GPU or CPU-based system in terms of speed, power consumption and memory bandwidth requirements. "The CEVA-XM4 is an exceptional processor for imaging and computer vision, offering outstanding performance, flexibility and power efficiency for applications requiring visual intelligence capabilities," said Allen Lu, Assistant Vice President of iVoT SBU, Novatek.

Technological advancements are a great asset to recruitment, but not a replacement. This is something Microsoft proved when its own foray into an AI social media account led to a number of posts supporting Donald Trump, claiming that 9/11 was an inside job and confidently telling the world that "Ricky Gervais [sic] learned totalitarianism from Adolf Hitler, the inventor of atheism". We can outsource all manner of tasks to artificial intelligence, but, as Microsoft learned, it doesn't mean we should.

EC: Welcome to the Wastes, Arthur! Hey, real quick before we get started… I understand you like to "poke pixels into proper shape". I'm a bit of a video game nerd, could you tell me about the game developer thing? AW: A friend I've known for 25 years, asked me to help him build games. He loves games, but isn't super creative.

Velodyne, a Silicon Valley company that makes laser radar - a critical component in self-driving cars - landed 150 million from Ford and Chinese search giant Baidu. SAN FRANCISCO – Velodyne, a Silicon Valley company that makes a critical component for self-driving cars, has raised 150 million from two companies racing to put autonomous cars on the road. Ford Motor Company and Chinese search engine Baidu are co-leads in the round, Velodyne announced Tuesday. Velodyne's puck-shaped Lidar, or laser radar, devices take the place of human eyes by relaying terrain information to on-board computers. The investment comes as competition heats up between automakers and tech companies looking to gain an early lead in the evolving transportation revolution.

This image provided by Google shows on a mobile device a summary box detailing state voting laws at the top of the search results whenever a request indicates a user is looking for the information. Google begins the how to vote feature in Google Search on Tuesday, Aug. 16, 2016, pulling another lever on its influential search engine in an effort to boost voter turnout in November's U.S. presidential election.

Robots have come a long way from being depicted as fictional characters in movies to playing an important role in executing critical business tasks, thanks to a versatile technique called'deep learning'. However, there is a growing concern that robots are expected to soon replace humans at operational level in organizations. With prominent leaders openly talking about how people will soon lose jobs to high functioning machines and companies stringently reducing employee strength, there is no denying the fact that artificial intelligence (AI) technology is here to stay. If one were to take a harder look however, one can say that on the contrary AI presents opportunities for the existing workforce to work in concert with the machines. Businesses should be on top of their game in making the best use of AI.