It's all about filament and microcontrollers.

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Signe Brewster and James Austin After a new round of testing, we’ll be ...

What did Elliot Williams and Al Williams read on Hackaday last week? Tune in and find out. After a bit of news, [Vik Oliver] chimes in with some deep PLA knowledge. Then the topic changed to ...

In the maker world, it’s the Arduino and ESP32 lines that get the lion’s share of attention. However, you can do fantastic ...

Better known for its artificial intelligence software solutions, Hugging Face unveiled the Reachy Mini open-source desktop ...