Jan Jongboom's dream, in his own words, was to have devices that really understand what is happening around them. That was ten years ago, but it wasn't until 2019 that he started really acting upon it ...

Edge computing is reshaping machine management beyond asset tracking through real-time monitoring and distributed operations.

Data centers use an estimated 200 terawatt hours (TWh) of electricity annually, equal to roughly 50% of all electricity currently used for all global transport, and a worse-case-scenario model ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, a leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has won the 2023 AI TechAward for the ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor ...

Microsoft’s open-source KubeAI Application Nucleus is a low-touch, Kubernetes-based system for building and running machine learning applications for edge devices. Computer vision is an increasingly ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

With AI and edge computing in the toolbelt, engineers are teasing out actionable insights and applying intelligent automation to increase supply chain agility. AI is a broad category covering software ...

Conicity Technologies LLC has introduced a four-axis, CNC edge-prep machine. The EXM-50EZ has been developed to compliment the company’s DXM machine line for edge prep on drills, reamers and gun ...