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The IoT market for artificial intelligence (AI) and machine learning (ML) services will reach $1.09 billion in 2020 and grow to about 10-times the size, to $10.6 billion, by 2026, …

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Verizon and IBM are combining their capabilities in 5G connectivity, edge and cloud computing, and data analytics to service the industrial market’s pursuit of digital change, as part of the …

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Groupe Renault will use Google’s cloud platform and analytics engine to bring tighter integration and keener insights to its centralised Industry 4.0 data management platform, the company has announced. Renault …

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California-based industrial AI developer Foghorn has closed $25 million in a series C round of funding, led by LS Corp, part of $25 billion South Korean industrial conglomerate LS Group. …

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On-device AI on minuscule IoT units will be the “new normal”, said UK-based Arm, as it unveiled a 480-times boost in edge processing performance with two new chip designs, pairing …

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Organizations will move IoT projects from proof-of-concept to proof-of-value Ramya Ravichandar, vice president of product management, FogHorn: “During proof-of-concept deployments in the last few years, many organizations have confirmed the …

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Higher-order analytics tools are being embedded in the industrial space, as data science and data capture practices advance, and as compute power and wireless networking become more flexible. But machine …

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Operational intelligence does not come just by connecting machines; it requires advanced analytics to sort the data and recommend a course of action. Many critical use cases at the edge …

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machine learning

Trying to keep intruders out of your network is like trying to keep vermin out of a house in a bad neighborhood. The rodents and insects never stop trying to …

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machine learning

There are two classes of artificial intelligence (AI): general (aka strong or full) and applied (aka narrow or weak). Applied is designed to handle specific tasks and is much more …

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