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 ...

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 ...

MUNICH--(BUSINESS WIRE)--Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) today announced it is teaming with Edge Impulse to extend its Tiny Machine Learning-based AI development tools for the PSoC™ ...

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 ...

The future is at the edge. No matter which industry report you put your faith in, the edge computing market is poised to blow up. User expectations, IoT proliferation and 5G latency are converging to ...

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 ...

The smart factory is no longer defined solely by automation, but by intelligence embedded throughout the system.

Hobbyists, developers and Raspberry Pi enthusiasts would like to learn more about the Internet of Things and machine learning, may be interested in a new article published to the official Raspberry Pi ...

Edge computing means that applications are written for devices, not people – so IT and operations must also recalibrate their relationship. In 2018, McKinsey estimated that up to $500bn in value could ...

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 ...