ChemicalQDevicePractical Medical GenAI with Tensor Networks R&D
The Practical Medical Generative Artificial Intelligence Software Innovation Public Repository is on GitHub.
The research summary is a look ahead using effective quantum-inspired machine learning 2.0 approaches to continue its acceleration of Artificial Intelligence.
Quantum-inspired machine learning is the principle application of quantum computing for AI applications. Exact expectation values, pure quantum states, and efficient differentiation methods allow for quantum algorithm implementations into existing Healthcare ML workflows.
This leading research and development collection represents medical and quantum machine learning algorithm prototypings, parameter studies, and efficiency tests using GPUs and CPUs.
The goal is to implement tensor network architectures into new and existing Large Language Models (LLMs) for better Precision Health Generative AI performance.
The Practical Medical Generative Artificial Intelligence Software Innovation Public Repository is on GitHub.
The research summary is a look ahead using effective quantum-inspired machine learning 2.0 approaches to continue its acceleration of Artificial Intelligence.
Quantum-inspired machine learning is the principle application of quantum computing for AI applications. Exact expectation values, pure quantum states, and efficient differentiation methods allow for quantum algorithm implementations into existing Healthcare ML workflows.
This leading research and development collection represents medical and quantum machine learning algorithm prototypings, parameter studies, and efficiency tests using GPUs and CPUs.
The goal is to implement tensor network architectures into new and existing Large Language Models (LLMs) for better Precision Health Generative AI performance.
Created by Kevin Kawchak Founder CEO ChemicalQDevice2024 San Diego, CaliforniaHealthcare Innovation