| 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...
| Designing energy-efficient embedded systems is challenging, and Edge AI adds to the challenge. Balancing intelligent functionality with effi...
| Elektor welcomes Edge Impulse as its 2025 guest editor for an in-depth edition dedicated to the rapidly advancing world of edge AI. Packed w...
| The Thundercomm Rubik Pi 3 blends Raspberry Pi familiarity with Qualcomm AI muscle. Discover how this 12-TOPS single-board computer shapes e...
| This project uses machine learning to automatically adjust windows and louvers for comfort and energy savings. One device detects rain and t...
| In today’s world, voice commands are becoming a popular user input method for various devices, including smart home appliances. While classi...
| 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...
| From early ML experiments at a hackathon to running models on billions of devices, Jan Jongboom has seen it all. In this interview, he refle...
| HP’s new headsets come with a unique feature made possible with an Edge Impulse collaboration. The voice-control function allows users to an...
| Designing energy-efficient embedded systems is challenging, and Edge AI adds to the challenge. Balancing intelligent functionality with effi...