What will the future of network edge management look like? We explain how artificial intelligence and machine learning technologies are crucial for intelligent edge computing and the management of future-proof networks. What’s required, and what are the building blocks needed to make it happen? Find out here.
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Today, the company announced a $6 million seed investment. Boston-based venture capital firm PJC led the round with help from Innospark Ventures, Differential Ventures and Smart Global Holdings. Somel Investments, BDC Capital and Desjardins Capital also participated.
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Edge computing, a process in which computing happens on local servers and devices “on the edge” of the network instead of on distant cloud data centers. Despite its growing popularity and accessibility, is edge computing an enduring solution for efficient and accurate data processing? Read some of the pros and cons.
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Edge virtualization startup Zededa today announced it has raised $12.5 million in an oversubscribed extension to its series A round. The company says the funding will be used to bolster its customer acquisition efforts as it continues to expand the size of its workforce.
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State of the Edge To understand and foster better practices across businesses and the technology industry, the Linux Foundation created the LF Edge in 2019 and rolled the State of the Edge into it last year. State of the Edge is a vendor-neutral platform for open research on edge computing that is dedicated to accelerating innovation by crowdsourcing a shared vocabulary for edge.
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According to a report by Market and Markets (Markets & Markets, 2020), “the global Edge AI software market size is expected to grow to USD 1835 million by 2026”. Similarly, a report by 360 Research Reports (360 Research, 2019) estimates that “the global Edge AI Software market size will reach US$ 1087.7 million by 2024”.
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The last year has seen a major spike in the adoption of AI models in production environments, in part driven by the need to drive digital business transformation initiatives. While it’s still early days as far as AI is concerned, it’s also clear AI in the enterprise is entering a new phase. Rob Thomas, senior vice president for software, cloud, and data platform at IBM, explains to VentureBeat how this next era of AI will evolve as hybrid cloud computing becomes the new norm in the enterprise.
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A battle for control over edge computing environments is expected to drive a total of $800 billion in spending through 2028, according to a report published today by the LF Edge arm of the Linux Foundation. The State of the Edge report is based on analysis of the potential growth of edge infrastructure from the bottom up across multiple sectors modeled by Tolaga Research. The forecast evaluates 43 use cases spanning 11 vertical industries.
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The fuse has been burning for several years, but now, in 2021, edge computing is about to explode in enterprise adoption. The cause? Three things: the virus pandemic, 5G networking, and the emergence of data center marketplaces.
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Artificial intelligence (AI) is an innovation powerhouse. It autonomously learns on its own and evolves to meet simple and complex needs, from product recommendations to business predictions. As more people and services produce data, more powerful AI is necessary to process it all. AI chipsets that use edge computing are the solution.
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The International Space Station will soon get a delivery of powerful AI, edge and cloud computing tools from HPE and Microsoft Azure to expand technology experiments aimed at preparing NASA for launching future crewed exploratory missions to Mars. The new equipment and software, including HPE’s specialized, second-generation Spaceborne Computer-2 (SBC-2), will mark the first time that broad AI and edge computing capabilities will be available to researchers on the space station, Tom Keane, Microsoft’s vice president of Azure Global, wrote in a Feb. 11 post on the Azure blog.
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AlphaICs has raised $8 million in funding for artificial intelligence processors for edge computing. The round was led by Emerald Technology Ventures and Endiya Partners. The Milpitas, California-based company was started in 2016 by Vinod Dham, a former Intel executive known as the “father of the Pentium.”
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Honeywell announced yesterday it will acquire Sparta Systems for $1.3 billion to gain control of quality management software (QMS) that the company is promising to augment with machine learning algorithms and other AI capabilities.
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AIStorm, an AI startup developing chipsets that can directly process data from devices, has raised $16 million. The company says the funding will enable it to scale manufacturing to deploy its hardware for devices like handsets, notebooks, smart speakers, remote controls, TVs, earbuds, IoT, and wearables and for transport applications.
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As billions of devices getting connected to the Internet is not a distant reality anymore, there are more and more number of intelligent gateways needed to act as a backbone of complex infrastructure for internet-of-things (IoT). Need for more gateways are increasing which could work on low power in constrained environments as well as having capability to process as much data as possible, also termed as edge gateway.
Read MoreServing large neural networks can be expensive. It certainly doesn’t help that neural network size appears to correlate with how useful they are.
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When considering transformational ways to use computer vision on the edge in devices like robots, drones, cameras, and other devices, Booz Allen Hamilton VP Josh Sullivan advises caution, urging people to take security seriously on what’s become a whole new attack vector.
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If there’s one goal every manufacturer in the multi-trillion-dollar industrial segment shares, it’s operating a factory free from production defects.
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