Build your own self driving RC car and learn robotics and AI
Does the same job
all alternatives →- SDSelf-Driving Pi Car2018 · github.com · ▲304
- HIHow I built a self-driving (RC) car.2012 · ▲300
I have been taking Andrew Ng's Machine Learning course. The lecture module on Neural Networks ends with an intriguing video of the ALVINN autonomous car driving itself along normal roads at CMU in the mid 90s. I was inspired by that video to see what I could build myself. A link to my incomplete write up was posted a couple of weeks ago (ouch!) but I finally finished it and open sourced the code tonight (so you can build your own self driving car). What do you think? http://blog.davidsingleton.org/nnrccar https://github.com/dps/nnrccar
- WBWe Built an Autonomous RC Car Using Neural Networks and Raspberry Pi2016 · github.com · ▲23

- BABuild a robot with the $9 C.H.I.P. Computer2016 · dexterindustries.com · ▲130
- DMDrive My Robot2020 · teleportconnect.com · ▲14
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, October 2018
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- WIWebsites in 2018▲595
Life & fun · 2018 · 2018.bloomca.me
