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From edge to cloud: The critical role of hardware in AI applications

CIO

It is becoming increasingly important in various industries, including healthcare, finance, and transportation. All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. Hardware innovations become imperative to sustain this revolution.

Hardware 188
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What Is Machine Learning and How Does It Work?

Openxcell

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Think you can ignore quantum computing? Think again.

CIO

The quantum technologies team at HSBC works with different business lines and functions to explore and test real world use cases including portfolio optimization, quantum machine learning, and financial simulation. That includes development of devices, software for controlling the hardware, cloud services, and application development.

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AI chip maker Kneron raises $25M for autonomous driving push

TechCrunch

AI chips, which are semiconductors designed to accelerate machine learning, have many applications. That’s why Liu’s AI chipmaking startup Kneron has been quietly racking up investments to march into smart transportation. at the moment.

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Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures

Altexsoft

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. Tasks you can solve with PdM. IT infrastructure.

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Diveplane lands $25M to grow its MLOps platform

TechCrunch

In 2017, three entrepreneurs — Chris Hazard, Mike Resnick and Mike Capps — came together to launch a platform for building AI and machine learning tools geared toward the enterprise. Hazard and Resnick had been working on various AI and game projects for the U.S.