Radar in Everyday Tech: What mmWave Sensors Do at Home, in Cars, and on Your Desk
Tiny radars are slipping into rooms, laptops, and cars. Here’s how they sense motion, what they’re good at, and how to use them responsibly.
Desktop Factories at Home: Safe, Practical Workflows for 3D Printing, Lasers, and CNC
Learn how to set up a small, safe, and effective home fabrication space. We cover tools, materials, workflows, costs, and quality habits that scale.
The Real-Time Curb: APIs, Sensors, and Pricing for Deliveries, Ride‑Hail, and Micromobility
Cities are turning curbs into live, programmable space. Here’s how sensors, software, and clear rules cut double‑parking and speed up deliveries.
The Quiet Smart Home: Matter, Thread, and Local Automations That Just Work
A plain‑English guide to building a reliable, private smart home with Matter, Thread, and automation patterns that save time and energy.
The Home Food Lab: Sensors, Smart Cookers, and AI You Can Actually Use
A practical guide to building a safer, smarter kitchen with sensors, connected appliances, and simple AI workflows you can trust.
Measure Products Without Personal Data: Federated Analytics You Can Ship Today
Learn how to track product health with on‑device summaries, secure aggregation, and local differential privacy—no raw event logs required.
How to Trust a Phone Call Again: STIR/SHAKEN, Call‑Back Codes, and AI Tools That Block Scams
Voice cloning and spoofing broke caller ID. Here’s a practical guide for individuals and teams to make calls trustworthy again—with clear steps you can use.
The Pocket AI That Stays Private: Building Useful On‑Device Assistants Today
Your next assistant can run offline, protect your data, and still feel fast. Here’s a practical guide to building on‑device AI that earns trust.
Athlete Toolkit 2.0: How Vision Models and Wearables Make Training Safer and Smarter
Everyday athletes now use cameras and tiny sensors to track form, reduce injury risk, and tailor workouts. Here’s how to make the tech work for you.
AI in the Workshop: Practical Workflows for Designing PCBs and FPGAs
A clear, hands-on guide to using AI as a reliable co-designer for schematics, PCB layout, and FPGA logic—without risking costly mistakes.