Researchers investigated using advanced techniques to predict inflation in real-time. They found that methods like Autoencoder and squared principal components can accurately forecast inflation, especially during economic downturns like recessions or the COVID-19 pandemic. These techniques reduce complex data into simpler factors that help predict future inflation rates effectively.