Revolutionizing water treatment with machine learning at the edge
Discover how Acciona transformed its water treatment process, achieving groundbreaking efficiency and sustainability through the power of Adaptive AI and…
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How can machine learning model visualization help in edge computing?
Edge computing devices are designed for remote deployment and often have limited onboard resources. Companies are building machine learning models…
Imagimob launches Ready Models to simplify machine learning implementation
Imagimob, a Stockholm-based startup in Sweden, has recently launched its Ready Models, a machine learning solution designed for edge devices….
Edge AI revolution: Exploiting the growing market opportunity for machine learning
Barbara IoT is a Madrid, Spain-based provider of a secure edge platform aimed at the industrial sector. The company is…
Machine learning framework PyTorch faces supply chain attack over the holiday season
PyTorch is an open-source machine learning framework used for applications such as natural language processing and machine vision. Researchers recently…
Alif Semiconductor, Telit bring machine learning, wireless connectivity capabilities to edge IoT with developer kit
Alif Semiconductor, a provider of low-power AI fusion processors and microcontrollers for IoT applications, has partnered with Telit, a cloud…
Machine learning platform Edge Impulse to support BrainChip Akida Neuromorphic IP
Edge Impulse and BrainChip have teamed up to allow Edge Impulse machine learning projects to deploy on the BrainChip MetaTF…
Dell and Hyundai AutoEver tap into factory processes with edge AI technologies
In a bid to transform factory processes and streamline operations, Dell Technologies is joining forces with Hyundai AutoEver and Intel…
Nokia launches on-premise AI/ML solution for enhanced OT decision-making
Nokia has unveiled the release of MX Grid, described as the world’s premier on-premise, hyper interconnected, and distributed AI/ML solution…
