AI
Explorations in applied machine intelligence for real-world sensing, classification, and play.
AI-000
A growing in-browser museum of generative adversarial networks with live demos that run entirely on CPU power.
- Every exhibit ships its full generator logic inline so guests can study and remix the models.
- Searchable catalog designed to host dozens of GAN experiments with preview thumbnails.
- Launch lineup features lightweight handwriting and chromatic pattern generators.
Enter the exhibit hall →
AI-001
Multi-modal counting that fuses Wi-Fi probing, camera feeds, and door sensors to quantify movement across venues in near real time.
- On-device processing keeps raw imagery private while streaming anonymized vectors to the edge.
- Forecast module predicts surges so staff can stage resources before congestion starts.
- Output dashboards plug into the analytics stack already deployed in the lab.
Open project dossier →
AI-002
A fine-tuned vision transformer that learns from herbarium scans, macro photography, and spore print imagery to identify fungal species.
- Active learning loop requests new labels for ambiguous samples gathered in the field.
- Outputs include toxicity risk bands, look-alike warnings, and habitat metadata.
- Packaging targets a lightweight mobile inference bundle for offline use in forests.
Open project dossier →
AI-003
Voice-first assistant that triages inbound calls, schedules follow-ups, and writes CRM notes using speech-to-text, LLM reasoning, and calendar sync.
- Conversational state machine guards tone, compliance, and fallback routing to humans.
- Integrates with Twilio SIP endpoints and the lab’s analytics warehouse.
- Fine-tunes prompts from anonymized transcripts to raise resolution rates.
Open project dossier →
AI-004
Competitive arcade sandbox where reinforcement learners iterate strategies while a player can drop in at any time to challenge the live leaderboard.
- Best-performing agent trains continuously, publishing policy notes after each improvement.
- Human mode loads the canonical game without assists so guests can attempt to dethrone the agent.
- Results feed a shared scoreboard with telemetry explaining how each run was achieved.
Open project dossier →
AI-005
Probabilistic growth model that ingests NOAA weather feeds, soil sensors, and phenology logs to forecast which species will fruit within a radius.
- Users set distance thresholds and species lists; alerts trigger when humidity and heat align with a species’ fruiting profile.
- Spatial tiles combine habitat suitability with recent mycology classification sightings.
- Designed as a “weather-style” notification system that surfaces safe-foraging windows.
Open project dossier →