Digital Neuron Lab
Placeholder overview for a modular, digital neural network lab powered by microprocessors you can stack like LEGO bricks. Build deeper networks, visualize every layer in real time, and even prototype MNIST-scale training workflows.

Modular compute
Microprocessor blocks, LEGO-style
Stack digital Conv2D and Linear blocks to scale depth and width beyond what the analog kit can support.
Live controls
On-block screens for activations
Each block has a screen to select activations, tune weights, and visualize layer outputs in real time.
Touch input
Touchscreen data ingestion
Users can feed images, XY coordinates, and raw sensor data from a touchscreen to drive interactive demos.
Placeholder roadmap
What will arrive in the full Digital Neuron Lab
This section is intentionally a placeholder. We will replace it with final specifications, pricing, and media as the build solidifies.
Training pipelines
Load MNIST-style datasets, preview metrics, and export trained weights to hardware.
Block UI
Touch-driven controls for activations, learning rates, and visual probes on each module.
Classroom kits
Bundles for educators, labs, and makerspaces to scale workshops quickly.
Guide placeholder
Digital build guides and curriculum
We will publish documentation, interactive lessons, and educator-friendly materials as the hardware evolves.

About the author
Hi, I am Diego.
I am a huge electronic enthusiast and deep learning researcher interested in the intersection of modern AI and physical systems. I work professionally in computer vision and generative models, and I also teach and give lectures on artificial intelligence at various universities and courses. Analog Neuron Lab comes from a long term personal motivation: removing the abstraction barrier that makes neural networks feel opaque, and turning them back into something tangible, measurable, and understandable. This project is my way of merging rigorous AI research with hands on electronics to make learning honest, physical, and intuitive.
Waitlist
Start teaching neural networks in a way students never forget.
Request your kit now and get access to the educational materials as soon as they are released.