  Smart signal processing approaches using Artificial Intelligence are gaining
momentum in NMR applications. In this study, we demonstrate that AI offers new
opportunities beyond tasks addressed by traditional techniques. We developed
and trained several artificial neural networks in our new toolbox Magnetic
Resonance with Artificial intelligence (MR-Ai) to solve three "impossible"
problems: quadrature detection using only Echo (or Anti-Echo) modulation from
the traditional Echo/Anti-Echo scheme; accessing uncertainty of signal
intensity at each point in a spectrum processed by any given method; and
defining a reference-free score for quantitative access of NMR spectrum
quality. Our findings highlight the potential of AI techniques to revolutionize
NMR processing and analysis.
