NEBULA (Neural Electromagnetic Beam-tracing for Universal Learning Architecture) represents a revolutionary approach to medical AI that replaces conventional deep learning with physics-based electromagnetic simulation. This collection provides pre-trained models for various medical imaging tasks, all grounded in fundamental physics principles.
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Nebula is an open-source and free-to-use modern C++ game engine.
Abstract We present NeuroCHIMERA (Neuromorphic Cognitive Hybrid Intelligence for Memory-Embedded Reasoning Architecture), a novel GPU-native neuromorphic computing framework resulting from the integration of two complementary theoretical and computational advances:Veselov's Hierarchical Number System (HNS) with consciousness emergence parameters
Quantum-inspired Echo State Network for multi-agent behavior analysis (MABe challenge)
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Neuraxon Paper With Code
Optical Neuromorphic Computing for Real-Time Pathfinding: A GPU-Accelerated Eikonal Solver with Directional Memory
