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Richard A Aragon

TuringsSolutions

https://www.turingssolutions.com

AI & ML interests

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Articles

The Myth of Running Out of Data: Why Infinite Math Makes AI Training Limitless

Aug 8

• 1

Simulating Monte Carlo Algorithms With Gaussian Probability

Jul 29

• 1

Utilizing Gaussian Probability Space to Simulate Monte Carlo Algorithms with Particle Swarm Optimization

Jul 27

Navigating Complexity with Elegance: The P-FAF Approach to Fractal Word Embeddings

Feb 22

Humor Understanding Multi-task Optimization & Ranking

Feb 9

• 1

Probabilistic Fractal Activation Function (P-FAF) and Its Advantages Over Traditional Word Vectorization

Feb 8

• 5

Organizations

Posts 17

Post

1574

Hyperdimensional Computing + Neural Network, tell your friends. To my knowledge, this is a completely novel implementation of HDC+Neural Networks. It would be a direct competitor to Transformers. It is off the charts more computationally efficient than Transformers could ever hope to be (which is why I tested it in the first place). It is far more similar to biological processes. My testing so far shows that it works surprisingly well. One surprise so far from my testing, adding an Attention Mechanism to the model does nothing at all. Weirdest thing. Like 1% performance increase. I guess Attention Is Not All You Need?

I made a Github repository for my Hyperdimensional Computing Neural Network: https://github.com/RichardAragon/HyperDimensionalComputingNeuralNetwork

I made a YouTube video showcasing the model and some of my experiments with it: https://youtu.be/Eg51o519zVM

Post

3138

I solved the biggest math problem associated with the Attention Mechanism. it works, better than I ever expected. Test it all yourself. Everything you need is linked from this video: https://youtu.be/41dF0yoz0qo

Sorry the audio quality sucks, I will buy a new microphone today. Why does some moron like me solve these things and not you? I know more about how computers work than you do, that's it. Swarm algorithms were big in the 90's and early 2000's. Computers were absolute dog doo doo then in one specific way, compared to now. That one way, which everyone overlooks, is the entire secret behind why swarm algorithms are so good.

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