| Historically, creating an ML model and deploying it to an embedded device required considerable manual effort and the use of a variety of di...
| Historically, creating an ML model and deploying it to an embedded device required considerable manual effort and the use of a variety of di...
| Join us live on December 11 for an exclusive Elektor webinar with Daniel Situnayake from Edge Impulse! Discover how artificial intelligence...
| Edge Impulse is a powerful, streamlined tool for creating machine learning models for embedded devices. But for new users, getting started c...
| The Thundercomm Rubik Pi 3 blends Raspberry Pi familiarity with Qualcomm AI muscle. Discover how this 12-TOPS single-board computer shapes e...
| As edge devices grow more powerful, AI is shifting away from the cloud and closer to where data is generated. Zach Shelby (Cofounder and CEO...
| HP’s new headsets come with a unique feature made possible with an Edge Impulse collaboration. The voice-control function allows users to an...
| Vision Language Models are generative AI models that take in images and text prompts. Some of the latest VLMs can also be implemented on low...
| Long before today’s AI boom, Elektor was documenting the early foundations of artificial intelligence through practical projects and forward...
| OpenMV, the "Arduino of machine vision," combines MicroPython firmware, easy-to-use libraries, a custom IDE, and specialized camera hardware...
| In our interview with Sergi Mansilla from Edge Impulse at embedded world 2025, we got an update on machine learning at the edge. As we’ve se...