Automating the Edge with Robotics

Edge Applications

News and analysis of the various programs that run at or near the network edge, including software applications, analytics and APIs, as well as the Platform-as-a-Service and middleware offerings that support them. Programs used by end users at the edge and those that enable them.

Nokia has unveiled the release of MX Grid, described as the world’s premier on-premise, hyper interconnected, and distributed AI/ML solution…

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Automotive Edge Computing Consortium’s proof of concept targets connectivity challenges

The Automotive Edge Computing Consortium (AECC) has unveiled a collaborative effort between Ericsson and Toyota aimed at enhancing the efficiency…

 

Advantech and Qualcomm forge alliance to revolutionize edge computing landscape

In a string of collaborations, Advantech, a provider of embedded computing solutions, has teamed up with Qualcomm Technologies at Embedded…

 

Advantech, Phison collaborate to develop a GenAI computing platform for the edge

Advantech, a provider of embedded computing solutions, has joined forces with Phison, a company focused on flash controller and storage…

 

Wind River brings DevSecOps capabilities to its Studio Developer edge-to-cloud platform

The Wind River Studio Developer has been upgraded to include DevSecOps capabilities for intelligent edge systems. Some additions to the…

 

Akamai, Neural Magic collaborate to improve deep learning capabilities on distributed computing infrastructure

Akamai Technologies, a provider of cloud and edge solutions, has partnered with Neural Magic, a company specializing in AI software…

 

Sima.ai secures $70 million in funding to develop second-generation MLSoC

Sima.ai, a company specializing in machine learning system-on-chip (MLSoC) platforms, has secured $70 million in funding. This investment round, led…

 

OSS commences liquid cooling solution development for its autonomous truck client

One Stop Systems (OSS), known for its rugged high-performance compute (HPC) systems for artificial intelligence (AI), machine learning (ML), and…

 

How are autonomous microcontroller unit peripherals utilized in edge applications?

While edge computing devices are designed with limited onboard resources, embedded developers explore various techniques to reduce power consumption. Despite…

 

Edge Impulse brings NVIDIA-powered models to edge MCUs, MPUs, and AI accelerators

Edge Impulse, a platform designed for developing, refining, and deploying machine learning models and algorithms to edge devices, has introduced…

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