Hello HN, I'm the designer of HyperC Planning Database. Its purpose is to demonstrate that state-of-the-art autonomous planning techniques from self-driving and robotics are usable in real-world IT production environments.
We package all applicable knowledge in AI planning, automatic proof and machine learning to convert multiple data science problems into an IT database administration process.
The ultimate goal is to get as close as possible to the 'universal algorithm' which will solve things like optimal logistics, food production, dyson sphere construction plan, etc.., fully autonomously.
We package all applicable knowledge in AI planning, automatic proof and machine learning to convert multiple data science problems into an IT database administration process.
The ultimate goal is to get as close as possible to the 'universal algorithm' which will solve things like optimal logistics, food production, dyson sphere construction plan, etc.., fully autonomously.