# Edge AI Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/edge-ai
> Markdown URL: https://aitinkerers.org/technologies/edge-ai.md
> Technology record last updated: 2026-02-23T23:06:55Z
> Generated: 2026-09-22T07:48:45Z

AI processing executed directly on endpoint devices (e.g., IoT sensors, smart cameras), eliminating cloud latency for real-time action.

Edge AI shifts machine learning inference from the centralized cloud to the network's edge: devices like autonomous vehicles and industrial IoT sensors. This localized processing cuts network latency to near-zero, enabling sub-millisecond decision-making critical for safety systems and predictive maintenance. Specific advantages include enhanced data privacy (keeping sensitive data local for compliance) and reduced bandwidth costs, as only insights, not raw data, are transmitted. The technology leverages specialized hardware (like NVIDIA Jetson) to run lightweight models, ensuring high-speed, reliable operation even with intermittent connectivity.

- Official technology site: https://www.splunk.com/en_us/data-insider/what-is-edge-ai.html
- Public AI Tinkerers demos and talks: 5
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Neural Memory for AI](https://vienna.aitinkerers.org/talks/rsvp_7UkJKsoOXTM)

Miruvor AI is replacing Vector embeddings and Similarity search with a Brain Inspired Neuromorphic way to have AI Memory that is extremely low latency, energy efficient and allows to learn from Memories post training. By storing Memories into a Live Neural network and retrieval by Pattern recognition and reactivation, we can get rid of the latency and energy cost of similarity search. This is how the brain parallelizes associative memory allowing it to think and remember in milliseconds. We've innovated an architecture and algorithms to use local plasticity rules to learn from new memories and have temporal context, as opposed to using a database query for AI Memory. This is what will translate onto Edge AI and Neuromorphic Chips powering Physical AI as well. I'd be happy to present my Research Paper , architecture diagrams, technical pipelines on the same, show how these memories are ingested and associated. I'd be happy to talk all about the implementation, relavence to Drones, Robotics and how this can help AI Agents and more. We can show our MVP, how the API works, how this can be integrated within Agentic Workflows and used by Agentic AI Startups as well! Self learning AI can start here. We've benchmarked this on the locomo Benchmark and achieved 88% accuracy and 50ms average retrieval speed.

- Event context: AI Tinkerers Vienna: 2026 — 2026-02-19 — Vienna
- Public talk page: https://vienna.aitinkerers.org/talks/rsvp_7UkJKsoOXTM

### [Real time jazz accompaniment generation](https://lausanne.aitinkerers.org/talks/rsvp__l4UlyBTkfQ)

This work explores the generation of symbolic musical accompaniment from a lead melody and metadata, aiming to produce rhythmically and harmonically coherent accompaniment track. The goal is to create a real-time system that responds to a musician's playing style and improvisation. By analyzing live instrumental input, the system generates accompaniments that align with tempo, harmony, and rhythm.

- Event context: AI Tinkerers Lausanne April 2025 Meetup — 2025-04-01 — Lausanne
- Public talk page: https://lausanne.aitinkerers.org/talks/rsvp__l4UlyBTkfQ

### [Hidden Torch](https://sf.aitinkerers.org/talks/rsvp_tjWLC0-9swQ)

Offline tutor running on a Raspberry Pi, building specific grade/location benchmarks, starting in Afghanistan.

- Event context: AI Tinkerers - San Francisco - January 2025 Meetup — 2025-01-30 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_tjWLC0-9swQ

### [Edge AI computer](https://seattle.aitinkerers.org/talks/rsvp_sDK4qXpxtng)

I'll just show the video of the Co-pilot plugged in a car & driving me + the inference output. If there's an extra display or a laptop, I'd love to use that instead.

- Event context: AI Tinkerers Seattle - January 2025 Meetup — 2025-01-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_sDK4qXpxtng

### [Time-Bound AI Model](https://austin.aitinkerers.org/talks/rsvp_W9daxK1z0QQ)

AGI is the focus.

- Event context: August Meetup: Community AI Demos — 2024-08-08 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_W9daxK1z0QQ

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