The study of partial differential equations (PDEs) and the underlying simple rules that govern reality were discussed. The idea that there are complex structures underneath our reality just from simple rules was explored, inspired by Stephen Wolfram's beliefs.
The new theory of relativity, which requires space and time to be warped to explain deviations in old predictions, motivated scientists to come up with new experiments and action sequences. Data collected from these experiments were found to be compressible by following an ellipse law.
Exploring the deep understanding of fundamental questions in science and technology, from the basic functioning of computers to the core of physics and even human thought process. It's crucial to approach these topics from various perspectives as they often require complete revision of existing paradigms.
The host discusses the potential for making new expositional contributions to the cutting edge science of machine learning, particularly through multidimensional visualizations, even if one does not have the background to make new scientific discoveries themselves.
The satisfiability problem of propositional logic is a universal combinatorial problem, where any algorithm can be expressed as a sequence of moves of the Turing machine. This means that any non-deterministic polynomial time algorithm can be translated into the language of the satisfiability problem.
The adoption of new ideas happens faster in younger fields, and computational universe could provide a new approach to the mathematical equations that have been used for 300 years.