Insights

Field notes on acoustic intelligence.

Research, engineering deep-dives, and perspectives on teaching machines to hear what others can’t.

Platform

Inside the model: classifying a million sounds a day

A look under the hood at the architecture, training data, and confidence thresholds powering Aures classifications at scale.

8 min read

Platform

From spectrogram to signal: building a generalizable acoustic engine

The same representation that separates a healthy bearing from a failing one can separate a healthy lung from a compromised one. Here is the architecture.

8 min read

Research

The physics of faint signals in noisy environments

Separating a whisper of structure-borne sound from ambient noise is hard. Here is the signal processing that makes it possible.

7 min read

Perspective

Why the next sensor revolution is acoustic

Cameras see surfaces and probes touch points. Sound travels through matter — and that changes what we can sense.

4 min read

Healthcare

From wheeze to waveform: respiratory screening at scale

Acoustic respiratory screening could reach places spirometry never will. We explore the model, the data, and the limits.

6 min read

Perspective

Why acoustic sensing scales where cameras and probes can't

Sound travels through material. A single microphone can monitor what would take a grid of invasive sensors, at a fraction of the cost.

4 min read

Agriculture

Listening inside the trunk: how acoustic AI finds concealed pests

Red palm weevil larvae feed unseen for weeks. We trained models on chewing and boring signatures to surface infestation before any visible symptom.

6 min read

Healthcare

Hearing the heart: acoustic biomarkers at the point of care

How subtle changes in cardiac sound let clinicians flag risk long before symptoms surface, and what it takes to do it reliably in a busy clinic.

6 min read

Agriculture

Mapping orchard health through passive sound

Continuous passive listening turns a single sensor into a health map for an entire planting — without disturbing the trees.

5 min read

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Occasional field notes on acoustic AI, research, engineering, and what we’re learning. No spam.