Abstract: In recent studies, both the ESP-32 and Raspberry Pi 4 (RPi 4) have been widely used for capturing Channel State Information (CSI) in motion detection applications. However, to the best of ...

What if your Raspberry Pi could become the ultimate desktop computer, customized to suit your exact needs? With its blend of versatility and affordability, the Raspberry Pi is a powerful platform, but ...

Free AI tools Goose and Qwen3-coder may replace a pricey Claude Code plan. Setup is straightforward but requires a powerful local machine. Early tests show promise, though issues remain with accuracy ...

What if you could build your own personal AI companion, one that’s entirely offline, respects your privacy, and fits in the palm of your hand? brenpoly explores how a Raspberry Pi 5, a few carefully ...

Near record python measured using human bodies A 16-foot, 10-inch python caught by a family of hunters on Jan. 13 weighed 202 pounds, the second heaviest python ever captured in the Everglades.

Sure, we may have constant access to AI chatbots on our smartphones, sitting accessibly in our pockets, lessening the need for a dedicated portable device. But what if I told you that rather than ...

The ongoing AI-fueled shortages of memory and storage chips has hit RAM kits and SSDs for PC builders the fastest and hardest, meaning it’s likely that, for other products that use these chips, we’ll ...

Eddy Keming Chen is an associate professor of philosophy at the University of California, San Diego, San Diego, California, USA. Mikhail Belkin is a professor of artificial intelligence, data science, ...

A Raspberry Pi is probably the last thing you'd think to bring on a trip, especially when your bag is already stuffed with phones, cameras, and other essential gadgets. But you might be surprised to ...

With climate change causing temperatures to rise across the globe, extreme heat is becoming more common — and thus a bigger health threat. The human body is resilient, but it can only handle so much.

Abstract: This study introduces a deep-learning framework for Human Activity Recognition (HAR) using spectrogram representations of FMCW radar data. Leveraging a publicly accessible dataset (DOI: ...