# ML Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/ml
> Markdown URL: https://aitinkerers.org/technologies/ml.md
> Technology record last updated: 2026-02-25T10:18:07Z
> Generated: 2026-09-21T00:45:42Z

ML is the AI subset where algorithms automatically learn patterns from data to make predictions or decisions, replacing explicit, hard-coded instructions.

Machine Learning (ML) is an artificial intelligence subset focused on building systems that learn directly from data: it is not explicitly programmed. ML algorithms, including neural networks, ingest large training datasets to identify complex patterns and optimize a model's performance. This process allows the model to generalize and make accurate inferences on new, unseen data. Key applications drive major industry functions: recommendation engines (e-commerce), fraud detection (finance), and computer vision (autonomous vehicles) all leverage ML to improve efficiency and automate decision-making at scale.

- Official technology site: https://www.ibm.com/topics/machine-learning
- Public AI Tinkerers demos and talks: 11
- Result page: 1 of 1

## Recent Public Talks and Demos

### [UserVolley follow up](https://orange-county.aitinkerers.org/talks/rsvp_KunnnLXa2pM)

Luke Freiler, CEO and founder of Centercode www.centercode.com

- Event context: AI Tinkerers Orange County: Tuesday, July 21, 2026 at Centercode — 2026-07-22 — Orange County
- Public talk page: https://orange-county.aitinkerers.org/talks/rsvp_KunnnLXa2pM

### [audience interactive recap of AIE (AI Engineering Worlds Fair)](https://seattle.aitinkerers.org/talks/rsvp_LOzA5u2pjZI)

audience interactive recap of AIE (AI Engineering Worlds Fair)

- Event context: Special Topic: AIE Recap & Science Fair — 2026-07-09 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_LOzA5u2pjZI

### [Harness for ARC-AGI-3](https://zurich.aitinkerers.org/talks/rsvp_DuQxaJngv4g)

At Tufa Labs, we built a top-performing harness for the ARC-AGI-3 challenge. We will be releasing it open-source and would like to present it at the event.

- Event context: AI Tinkerers Zürich: July Build Night with Swisscom Ventures — 2026-07-01 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_DuQxaJngv4g

### [Building Emotional Intelligence for AI](https://cairo.aitinkerers.org/talks/rsvp_EHAXdxhFkPo)

we have built the first emotional intelligence engine for AI, to help AI, understand and interact with humans, we have trained ai with emotional intelligence to preform better interacting with humans, this is not just for AI, it's built for wellness, robotics, gaming, IOT

- Event context: AI Tinkerers Cairo: Inaugural Meetup — 2026-07-01 — Cairo
- Public talk page: https://cairo.aitinkerers.org/talks/rsvp_EHAXdxhFkPo

### [Teaching an LLM to Play Riftbound](https://ottawa.aitinkerers.org/talks/rsvp_CPcwK2QKRgg)

Samuel demonstrates a framework he built to teach AI agents to play Riftbound, the League of Legends-based trading card game. The system translates English card text and the current board state into legal actions, uses Gemma to choose moves in player-versus-bot or bot-versus-bot simulations, and is designed to generate training experience so a faster machine-learning policy can eventually select optimal plays without relying on slower LLM inference at the final decision stage.

- Event context: AI Tinkerers Ottawa Meetup - June 20th, 2026 — 2026-06-20 — Ottawa
- Public talk page: https://ottawa.aitinkerers.org/talks/rsvp_CPcwK2QKRgg

### [Long](https://hong-kong.aitinkerers.org/talks/rsvp_gS_HYkNSquI)

With spec-driven AI development going mainstream and even Garry Tan making his own coding framework, I decided to build a framework myself with ALM (Application Lifecycle Management), Compliance as Code and AI Agents.

- Event context: AI Tinkerers Hong Kong & GBA: AI Demo Night @ Google (May) — 2026-05-07 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_gS_HYkNSquI

### [Founder](https://hong-kong.aitinkerers.org/talks/rsvp_aYzzm1F9hZM)

Jason is the founder of Prep Pal. He's an ex-Google, ex-Alibaba Product Manager focusing on AI and ML products. Prep Pal: Helping everyone walk into high-stakes conversations with confidence. Whether it's a job interview, investor pitch, or difficult workplace discussion - real practice builds the confidence that preparation alone can't.

- Event context: AI Tinkerers Hong Kong & GBA: AI Demo Night @ Google (May) — 2026-05-07 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_aYzzm1F9hZM

### [Building the One Human Company](https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_vK-LGzCaLTk)

I'm building tools for solo founders to coordinate an army of agents to run multiple companies at the same time.

- Event context: AI Tinkerers Ho Chi Minh City: AI Coding Agents & Orchestrators — 2026-04-18 — Ho Chi Minh City
- Public talk page: https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_vK-LGzCaLTk

### [Tinkerers / AI Growing WorldWide](https://santiago.aitinkerers.org/talks/rsvp_9zUr5V-XrvQ)

La mision y experiencia en IA de AI-Tinkerers por el mundo. +200 cuidades del mundo. Una en Chile.

- Event context: 🔥 AI TINKERERS - SANTIAGO / CAPÍTULO #10 / 2026 — 2026-04-16 — Santiago
- Public talk page: https://santiago.aitinkerers.org/talks/rsvp_9zUr5V-XrvQ

### [Graciously weaving AI](https://poland.aitinkerers.org/talks/rsvp_ZkriXxWVhFM)

I'll show how we've been adding AI-powered features into Linear, while maintaining our identity and edge. I will give a few examples, supported by implementation details.

- Event context: AI Tinkerers Poland x Codex - Meetup in Warsaw #7 (4th March, Wednesday) — 2026-03-04 — Poland
- Public talk page: https://poland.aitinkerers.org/talks/rsvp_ZkriXxWVhFM

### [Mixpanel for LLM apps](https://bengaluru.aitinkerers.org/talks/rsvp_YwBMFfUCbS8)

Pype helps engineering teams monitor and optimise LLM prompts in production. We improve performance, cut costs, and boost reliability for our customers' AI applications. While building LLM apps has become easier, maintaining them is still challenging, especially for companies without in-house ML teams. Pype fills this gap, becoming an essential part of the AI stack for businesses looking to leverage language models effectively.

- Event context: AI Tinkerers Bangalore - September - RSVP REQUIRED — 2024-09-13 — Bengaluru
- Public talk page: https://bengaluru.aitinkerers.org/talks/rsvp_YwBMFfUCbS8

## Related Technologies

- [AI](https://aitinkerers.org/technologies/ai) ([Markdown](https://aitinkerers.org/technologies/ai.md)) — 55 public demos
- [LLM](https://aitinkerers.org/technologies/llm) ([Markdown](https://aitinkerers.org/technologies/llm.md)) — 123 public demos
- [DL](https://aitinkerers.org/technologies/dl) ([Markdown](https://aitinkerers.org/technologies/dl.md)) — 4 public demos
- [Machine Learning](https://aitinkerers.org/technologies/machine-learning) ([Markdown](https://aitinkerers.org/technologies/machine-learning.md)) — 20 public demos
- [NLP](https://aitinkerers.org/technologies/nlp) ([Markdown](https://aitinkerers.org/technologies/nlp.md)) — 6 public demos
- [AGENTS](https://aitinkerers.org/technologies/agents) ([Markdown](https://aitinkerers.org/technologies/agents.md)) — 20 public demos
- [ARC-AGI-3](https://aitinkerers.org/technologies/arc-agi-3) ([Markdown](https://aitinkerers.org/technologies/arc-agi-3.md)) — 1 public demo
- [Artificial Intelligence](https://aitinkerers.org/technologies/artificial-intelligence) ([Markdown](https://aitinkerers.org/technologies/artificial-intelligence.md)) — 5 public demos
- [Centercode](https://aitinkerers.org/technologies/centercode) ([Markdown](https://aitinkerers.org/technologies/centercode.md)) — 1 public demo
- [Claude](https://aitinkerers.org/technologies/claude) ([Markdown](https://aitinkerers.org/technologies/claude.md)) — 173 public demos
- [Code](https://aitinkerers.org/technologies/code) ([Markdown](https://aitinkerers.org/technologies/code.md)) — 9 public demos
- [Computer Vision](https://aitinkerers.org/technologies/computer-vision) ([Markdown](https://aitinkerers.org/technologies/computer-vision.md)) — 22 public demos
- [Deep learning](https://aitinkerers.org/technologies/deep-learning) ([Markdown](https://aitinkerers.org/technologies/deep-learning.md)) — 10 public demos
- [game-playing agents](https://aitinkerers.org/technologies/game-playing-agents) ([Markdown](https://aitinkerers.org/technologies/game-playing-agents.md)) — 1 public demo
- [Gemma](https://aitinkerers.org/technologies/gemma) ([Markdown](https://aitinkerers.org/technologies/gemma.md)) — 4 public demos
- [Google Cloud Platform](https://aitinkerers.org/technologies/google-cloud-platform) ([Markdown](https://aitinkerers.org/technologies/google-cloud-platform.md)) — 25 public demos
- [Google Stack](https://aitinkerers.org/technologies/google-stack) ([Markdown](https://aitinkerers.org/technologies/google-stack.md)) — 1 public demo
- [Harnesses](https://aitinkerers.org/technologies/harnesses) ([Markdown](https://aitinkerers.org/technologies/harnesses.md)) — 1 public demo