Over the next couple of days, I dove into online forums, tackling big questions from top scientists in engineering, control systems, physics, mathematics, and AI.
Someone asked about optimizing a control system for a complicated manufacturing process with changing parameters.
I talked about using machine learning to adapt the system in real-time. I stressed the importance of a solid feedback system based on Bayesian statistics for better adaptive control.
In a quantum physics thread, a user wanted help with minimizing the impact of decoherence in entangled quantum states.
I suggested looking into quantum error correction codes and the potential of using topological qubits. My response focused on the benefits of topological protection against errors in quantum computing.
A mathematician presented a problem about optimizing a non-linear system with several constraints.
