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/software integration and connections to established programming languages.
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General Physics works to develop not only novel circuit design, but the philosophy behind the universal approximation theorem. Finite element mesh systems and particle in cell models developed to solve plasma physics simulations are just one example of the continuous connection to advanced programming with our approach requiring new chip architecture. What is needed is the development of advanced molecular circuitry.
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Collaboration with Zurich Instruments generates lock-in amplification of Hilbert space filling curve waves, Aharonov-Bohm effect states, quantum tunneling regimes, and the 2D to 3D transition of physical space in Cartesian and fractal coordinates. We need to move past old ideas of programming to a quantum regime where macroscopic tunneling and a qubit state evolve cryptographic security. Teleportation requires the quantum space filling wavefront to rectify Stoke's, divergence, and gradient 1D to 2D to 3D curve fitting beyond continuous inflationary state development.
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. We are working to develop new connections with Dassault in the back-panel (similar to LabView vi flow chart to machine language organization) developing specific task oriented tools for the CATIA UX.
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. Mellin transforms, Bose Einstein condensates, qubits, and Riemann zeta prime number cryptography are all areas of research in our A.I. and quantum programming division.
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. We look forward to developing n+1 generation equation solvers, assistants, and cross platform endpoint emulators to create a more general artificial intelligence platform for the discerning user.
