Publication

Abstract : Explorations into the nature of reality have been undertaken across the ages, and in the contemporary world, disparate tools, from gedanken experiments, experimental consistency checks to machine learning and artificial intelligence are being used to illuminate the fundamental layers of reality. A theory of everything, a grand unified theory of physics and nature, has been elusive for the world of Physics. In today’s age, we have increasing levels of computational inputs and power that factor in when considering avenues of new research in Physics. Artificial intelligence has been one of the primary areas of interest in computational pursuits around Physics research, with AI already having been applied successfully to varied scientific fields and problems, such as in tensor networks, for error-correction algorithms and searching for new states of quantum matter. Recent developments, such as in extension of artificial intelligence, machine learning and neural network to higher dimensions as well as generalized geometric surfaces, are of prime importance for advancement of research in frontier Physics, even as we look at solving the conundrum of Quantum Gravity using approaches such as geometrodynamics and causal dynamical triangulation. The sky is the limit for the application and relevance of artificial intelligence to probe, analyse, study and find the fundamental elements and nuances of reality in the Universe.