Authored by certified embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML ...

“What we're seeing is all kinds of demand for different architectures and compute type of solutions to run inference not in ...

Edge AI is here — faster, smarter, and closer to the data. In Elektor’s upcoming guest-edited edition with Edge Impulse, discover how engineers are building intelligent devices using keyword spotting, ...

A basic Arduino board adds creativity, flexibility, and interactivity to your home lab. It costs little but opens countless ...

Memristors — short for “memory resistors” — are the brainlike workhorses of neuromorphic computing, capable of learning from ...

Multitasking is something we take for granted these days. Just about every computer we use, from our desktops to our phones, is capable of multitasking. It might sound silly to implement ...

The natural world is often obfuscated by human control, and what Maxence seems to be drawn to is lifting the veil that ...

Our blueprint unfolds in four overlapping phases—each grounded in neuroscience, real-world examples, and scalable digital ...

Their business quickly outgrew their original space, but the team was unable to terminate their lease, and that location sat empty. After Sonderhaus hosted a pop-up event in Salt Lake City one day and ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

In a metal like copper, however, the outer electrons swim around freely and are shared by all the atoms. That’s why ...