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IBM unveiled new edge-computing services and solutions this week designed to help enterprises make the most of their transitions to 5G.
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Called Vizi-AI, the devkit combines an Intel Atom-based SMARC computer module with the Intel distro of the OpenVINO toolkit and Adlink Edge software.
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BrainChip, a provider of advanced neuromorphic computing technology, has collaborated with Socionext, which specializes in software-on-a-chip (SoC) solutions for video and imaging systems, to create a low-power platform for AI edge computing applications.
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Chip designer Arm just announced two new processors with the potential to push AI into billions of small, power-and-memory-constrained devices.
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Microsoft and AT&T offered an update on their 5G partnership late last month with the aim of using edge computing capabilities to "drive enterprise capabilities" for businesses around the world.
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These numbers represent a 217 percent compound annual growth rate (CAGR), with 5G becoming what will be 8.9 percent of all "mobile device connections."
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Described as “a vendor-neutral and code-first industry collaboration,” the new Edge Native Working Group was created to drive the evolution and broad adoption of open source software for edge computing.
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Silver Peak, a leader in the software-defined wide-area networking (SD-WAN) space, announced updates to its Unity EdgeConnect SD-WAN edge platform that allow for massive scaling.
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With edge computing increasingly appearing on lists of exciting, transformational technologies along with next-gen future-tech like artificial intelligence, quantum computing and so on, here's what industry experts are predicting for the space going forward.
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Earlier in November Intel announced several new initiatives aimed at advancing artificial intelligence (AI) processing on the edge.
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Dell Technologies and mobile service provider Orange recently announced a partnership to deal with new challenges coming with the advent of 5G wireless.
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FogHorn recently announced the launch of Lightning Mobile, a new edge computing solution designed for industrial machine learning-focused mobile devices running Android.
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The company says it created the board combination with Google's TensorFlow team specifically for artificial intelligence on the edge that focuses on gesture and voice recognition.
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Embedded BI in applications using data from Internet of Things devices is growing in importance, according to the 2018 Edition Embedded Business Intelligence Market Study by Dresner Advisory Services.
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Nutanix recently announced Xi IoT, a new service designed to provide real-time, intelligent edge computing capabilities for Internet of Things (IoT) projects.
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The company says Arm Neoverse solutions will provide the "performance, security and scalability" required for the microarchitecture of the future.
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Alibaba and Intel Corp. this week have announced a new initiative to bring an artificial intelligence-based "open" platform for edge computing designed for Internet of Things (IoT) projects.
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San Jose, Calif.-based Litmus Automation this week announced an update to its flagship release LoopEdge, which it calls"the first edge computing platform for industrial IoT."
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In the partnership, Jabil will build the embedded apps based on Tibco's Project Flogo, an open-source project designed for IoT.
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Google recently announced a new application-specific integrated circuit designed for AI and IoT processing taking place "on the edge."