A.I.
Artificial Intelligence, Machine Learning, Large Language Models, Large Multimodal Models, Physics Informed Neural Networks, and quantum algorithms are all fields of study that General Physics scientists are working on in regards to both hardware and software integration, and connections to established programming languages.
CATIA Workbench Additions with A.I.
CATIA is a powerful CAD tool for the development of architectural, engineering, and scientific schematics. Building an A.I. workbench addition will allow the UX to connect simulation, modeling, diagnostics, and design to natural language and mathematical input prompts for the purposes of efficiency. Working with Dassault, General Physics looks forward to a collaboration that cannot be deconstructed; designs and programs are built from logical first principles and integrated networks.
Quantum Algorithms
Connecting to new computing paradigms, General Physics plans functional mathematical Hamiltonian polynomial qubit gate control of Dirac input states in a superposition to generate outputs to solve wide ranging physical problems which are isomorphic to quantum state systems. This means traveling salesman solutions, protein folding solutions, and Monte Carlo plasma molecular dynamics simulations.
Chatbots
General Physics wants to develop rational chatbots to solve technical problems for the scientific community. Services are connected to consulting bookings and bespoke for certain industries or projects. This is in development.
