Concept preview

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.

Placeholder contentSpecs coming soon
Digital Neuron Lab concept banner

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.

Placeholder slot for guide downloads, block manuals, and lab exercises.
Diego, creator of Analog Neuron Lab

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.

No spam. One or two emails per quarter, only when something matters.