lean hardware

RISC-V is a family of open instruction sets for microprocessors. The V extension is for vector operations, underpinning signal processing, machine learning and AI. There are open designs of implementation for the V extension that run at about one watt.

lean software

micrograd is a 500-line machine learning library. It is easy to learn and innovate with, yet competitive in performance. It paves the way for simplifying attention-based models.

generic causal prediction

We developed a generic approach to identify causal predictors first for a prediction target, then make verifiable probabilistic prediction. One embodiment is Time Series Terminal https://tsterm.com. The engine behind can be configured with data from any domain: agriculture, climate, etc.

references

Introduction to RISC-V, /2025/08/11/first-riscv64-program.html

The V extension for vector operations, /2025/10/31/rv64-v.html

TensorFlow, Apple’s MLX and our micrograd, /2025/09/25/tensorflow-mlx.html

A roadmap to a simple attention mechanism, /2026/02/10/roadmap-att.html

Hannart, A., J. Pearl, F. E. L. Otto, P. Naveau, and M. Ghil, Causal counterfactual theory for the attribution of weather and climate-related events, Bulletin of the American Meteorological Society, 97(1):99-110, 2016.

Koenker, R. (2005). Quantile Regression (Econometric Society Monographs). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511754098

Komunjer, Ivana, Quasi-maximum likelihood estimation for conditional quantiles, Journal of Econometrics, Volume 128, Issue 1, September 2005, Pages 137-164.

Diebold, F.X., Gunther, T. and Tay, A., Evaluating Density Forecasts, 1998.

Platform, method, and system for a search engine of time series data, United States patent US11893069B2.

Time Series Terminal, https://tsterm.com