Where do you see a hard requirement? I have added support for ONNX model upload for now and would love to extend support for other formats. How you build the model is totally upto you. I don’t check anything other than format and inference time and model size.
Glad you like it. The evaluation is based purely on game performance. However each weight class is evaluated separately. Nano, micro, mini, small, large and open class.
15yrs back I participated in "Google Ants AI Challenge 2011", an ai programming competition, hosted by the University of Waterloo, and I ranked #127 (#1 in my country). The competition gave me a huge learning oppurtunity where developers across the world came to a forum and discussed various techniques.
Now, I've built a similar platform to bring back the fun of building a small neural network that can play the game well. Neural Network optimization seems to be much more fun.
Plz share your feedback to improve the platform and add more games.
Unfortunately the competition site is mostly down and couldn't find much about the old competition other than the participants blog articles. Do a search on "Google Ants AI Challenge - post mortem", and you get a lot of articles around the game.
Thanks for sharing the research. I tried implementing a per Ant decision making model, but gave up as the training time was much longer compared to the current baseline. I think I should rethink the idea.
Nice. I was 72nd. Working in AI research today and still making ai for games as a hobby (tfmbot.com is an ai i’m working on for my favourite board game terraforming mars).
From competing with the world to building a place for the world to compete—what a full-circle moment. Love the challenge: how much strategy can a tiny neural network learn? Excited to see what people build.
Am wondering why no one is talking about traceability of Photos. Ex: CSAM which Apple was fighting for a long time. I thought this feature was the answer to provide proof of who shot the picture.
According to the description in the article, "an outside observer cannot determine whether any pair of reference images were taken by the same device." and they "avoid even implicit public association between different photos taken by the same sensor"
I dont think this is relavent to that use case. It seems like this proposal would be an optional off by default feature. They also seem to be going to lengths to make it privacy first so the verified photos cannot be linked to a specific photographer.
Nothing stops you not verifying, or simply stripping the verification off.
What you are prevented from doing is adding a verification to a photo outside of the iOS image pipeline, or modifying the photo with the verification still in tact.
1. Can't remember which way you came from just after a few mins of passing the same street.
2. Can't recollect your mother's face by closing your eye, but can recognize when you see.
3. Don't remember faces unless seen them for many times.
4. Can remember a favorite color.
5. Don't have a consistent handwriting.
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