NEBULA: AI powered by light. NVIDIA Raytracing CUDA RTX

The Enhanced Unified Holographic Neural Network (EUHNN) pushes the boundaries of AI by pioneering a novel architecture inspired by the principles of optical computing and holographic memory. Leveraging NVIDIA's cutting-edge technologies like Ray Tracing, CUDA, and RTX, EUHNN simulates the behavior of light within a virtual optical neural network, enabling highly parallel and efficient computations. This approach addresses limitations of traditional AI by simulating the propagation of light and its interaction with holographic memory elements, mimicking the efficiency and associative properties of optical systems. EUHNN features real-time learning, P2P knowledge sharing via WebRTC, and integration with external LLMs for enhanced text generation. The project showcases the potential of combining AI, holographic memory, and NVIDIA's powerful hardware and software for creating more efficient, scalable, and adaptable AI models.

https://github.com/Agnuxo1
https://github.com/Agnuxo1/NEBULA
https://github.com/Agnuxo1/NEBULA-EVO...
https://github.com/Agnuxo1/Holography...
https://github.com/Agnuxo1/Neural-Net...
https://github.com/Agnuxo1/Holographi...
https://github.com/Agnuxo1/Light-Base...
https://github.com/Agnuxo1/Holographi...
https://github.com/Agnuxo1/Unified-Ho...

https://www.researchgate.net/profile/...


What is this? A stellar nebula? No, it's something even more revolutionary.

What you're seeing is NEBULA, a new neural network architecture based on optical physics, simulated with CUDA and Raytracing. This innovation allows RTX GPUs to accelerate and make large language models (LLMs) more efficient.

With NEBULA, we not only achieve greater energy efficiency, but we also provide models with extended memory. Imagine being able to instantly store and read all the network parameters using a holographic system.

In traditional neural networks, complex calculations must be performed, considering the tensors and weights of each neuron. This requires enormous computing capacity. But NEBULA changes the rules of the game.

The NEBULA system, using CUDA and Raytracing, converts each neuron into a point of light. Weights and tensors are transformed into intensity, refraction, dispersion, backlighting, tones, and textures. The result? We can run networks with billions of neurons with unprecedented efficiency.

But that's not all. NEBULA allows us to see the network functioning in real-time. And here comes the most fascinating part: the network can process part of the output data without the need for additional calculations.

Think of it as mixing paint. When we combine yellow and blue, we get green without complex calculations. Similarly, the mixture of intensities and textures in NEBULA produces interactions and results by itself.

In essence, the holographic images created not only store information but process it simultaneously. It's as if the monitor became an extension of the processor, actively contributing to the final result.

NEBULA is not just an improvement; it's a revolution in the field of artificial intelligence. We are redefining the limits of what's possible, opening doors to a future where efficiency and capacity go hand in hand. Welcome to the era of NEBULA.

Books:
https://www.amazon.com/Francisco-Angu...