01 / Lab
Building research and software for intelligent systems.
Papers, notes, and the tools behind them.
02 / Focus
Three overlapping tracks: how things run, how they learn, and how we describe what we did.
a.
Computing systems
Inference paths, memory behavior, and runtime measurements on real hardware.
- Inference
- Compression
- Profiling
b.
Learning methods
Models and representations where the structure is explicit and the evaluation is honest.
- Sparse structure
- Architecture
- Evaluation
c.
Practice
Method notes, shared artifacts, and writing — described well enough to build on.
- Notes
- Code
- Papers
03 / Software
What we ship
1 product
Internal · early access
cortexSDR
C++17 toolchain for compressing neural models into sparse .sdr archives and running sparse / on-demand inference from them. Supports ONNX, GGUF, TensorFlow, PyTorch, and HDF5, with BLAS- and SIMD-tuned kernels.
04 / Subscribe
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