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Explores USB Type-C connector design, shielding, PCB connections, power delivery, and electrical, thermal, mechanical, and oxidation testing.
Learn how transformer bobbin package styles affect magnetics design, including leakage inductance, insulation, rail orientation, and magnetic-field containment.
A practical step-by-step approach to suppressing EMC interference in isolated power modules, emphasizing common-mode noise and unregulated narrow-input-range designs.
Measure crystal oscillator circuits on a PCB, identify probe and component effects, and improve robustness against component variation.
Use MicroPython’s uasyncio on a Raspberry Pi Pico to run cooperative tasks, coordinate coroutines with queues, and respond to button input while blinking an LED.
Learn LED dimming, MagI³C LED driver operation, high-current solutions, and horticulture lighting applications.
Design and assemble a stackable RP2040 debugging PCB, learning from the schematic, layout, soldering, rework, and testing decisions behind the prototype.
Train an AI to inch its way through QWOP by turning gameplay screenshots into feedback for a reinforcement-learning agent.
Automate Raspberry Pi Pico firmware builds with Docker and GitHub Actions, publishing compiled binaries as releases users can download and flash.
Explore automotive sensors, ECUs, and car hacking with hands-on demos and expert insights. Learn about OBD2 diagnostics, CAN bus systems, and potential vulnerabilities in modern vehicles.
Explore IoT product development with Tomorrow Lab and Golioth, featuring ideation, prototyping, and implementation using Digi-Key components for a connected device that monitors environmental conditions.
Learn to optimize hyperparameters for reinforcement learning using Meta's Ax framework. Explore grid search, random search, and Bayesian optimization techniques to improve machine learning model performance.
Explore reinforcement learning to train an AI agent to swing up a real pendulum using Arduino, Python frameworks, and ESP32 deployment, with practical demonstrations and troubleshooting tips.
Learn to train and deploy a custom object detection model on the Google Coral Dev Board Micro, achieving fast inference speeds with low power consumption. Hands-on guide covers data collection, model training, and deployment.
Master advanced FreeCAD techniques for creating complex organic shapes using sweeps, lofts, and guide curves while designing a boat hull and exploring the Curved Shapes Workbench for enhanced 3D modeling.
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