For learners

Learn the science where the science runs.

Lessons live inside the studios themselves — you read the model, run the real verbs, and read back the evidence your own run produced. No slides about a system you never touch.

Tracks

From reading a claim to shipping a studio.

Provenance-first foundations

Read a claim like a scientist: empirical level, evidence kind, claim boundary, freshness. The vocabulary every studio shares.

Neuromorphic computing

Spiking networks and stochastic computing in SNN Studio — from a single neuron model to an FPGA-validated result.

Fusion control & safety

Tokamak control and digital-twin reconstruction in Control and Fusion Studio, with every figure shown at its true boundary.

Formal verification

Merge-in-the-formal and co-simulation in MIF Studio — proofs and certificates, not assertions.

Build your own studio

Take the platform SDK, declare a capability manifest, emit a schema-A evidence bundle, and federate through the Hub.

How a lesson works

Read · run · verify.

01

Read

A short, sourced explanation of the science — the model, its assumptions, the paper it matches exactly.

02

Run

Drive the real studio verbs inside the lesson. The same engine researchers use, no toy sandbox.

03

Verify

Inspect the evidence bundle your run produced and see why it landed where it did on the claim lattice.