DeepField

AN INDEPENDENT RESEARCH PROGRAM

About

DeepField is an independent research lab.

FROM THE FOUNDER

I fell for neural networks during my bachelor’s in computer science and mathematics, curiosity first and the math later, and the curiosity outlasted the coursework. The part that still gets me is the part everyone rushes past: show a stack of matrices enough of the world and it starts to know things nobody told it.

ONE HELD OUT RUN · A SYSTEM DRIFTING TOWARD COLLAPSERAW SIGNAL, THE ONLY INPUTTHE NETWORK · EVERY LEARNED CONNECTION DRAWNBLUE POSITIVE · ROSE NEGATIVE · GLOW = SIGNAL FLOWX(T-23)..X(T)RELU 14RELU 7SIGMOIDP(COLLAPSE WITHIN 40 STEPS)0.5THE CALL39 STEPS EARLYTHE EVENT
24·14·7·1 MLP · 441 CONNECTIONS, 463 PARAMETERS · TRAINED ON 16,313 WINDOWS FROM 320 SYNTHETIC RUNS · HELD OUT AUC 0.83NOBODY TOLD IT WHAT TO LISTEN FOR. THE GAP IS THE POINT.

DeepField grew out of a question I couldn’t put down. Neural networks can find patterns in pixels and speech that nobody taught them. Point that kind of listening at the world itself, at markets and supply chains and the slow build-up before things break, and what does it hear? I’ve built software for years. This is the first thing I’d gladly spend a decade on. My days go into building the architecture, the research agenda, and the software that runs it.

I keep few convictions and hold them the way an experiment holds a hypothesis. Three I won’t trade: the future is not silent. Honest instruments beat confident opinions. A belief that can’t be scored is a mood. The rest of this site is me trying to live up to them.

Chaitanya Laxman

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THE INSTRUMENT

The lab’s central artifact is the instrument itself: the engineering that makes six public methods run as one continuously operating system against the live world. That work is protected deliberately, in two ways. The infrastructure is patent pending. What the instrument learns is held as trade secret and will never be filed, because calibrations and learned structure lose their value the moment they’re disclosed. This site describes neither, by design. What will be published is the record.

FOUNDATIONS

The insights are DeepField’s own, and so is the instrument. The science beneath them is public, from causal inference to the study of critical transitions, and we cite it openly because a lab that hides its debts cannot be audited. The reading is collected in the Foundations; the insights are argued on the Method.