In the previous couple of years, electron microscopy has skilled a brand new methodological paradigm aimed to repair the bottlenecks and overcome the challenges of its analytical workflow. Machine studying and synthetic intelligence are answering this name offering highly effective assets in the direction of automation, exploration, and improvement. On this assessment, we consider the state-of-the-art of machine studying utilized to electron microscopy (and obliquely, to supplies and nano-sciences). We begin from the normal imaging strategies to achieve the most recent higher-dimensionality ones, additionally protecting the latest advances in spectroscopy and tomography. Moreover, the current assessment gives a sensible information for microscopists, and typically for materials scientists, however not essentially superior machine studying practitioners, to straightforwardly apply the provided set of instruments to their very own analysis. To conclude, we discover the state-of-the-art of different disciplines with a broader expertise in making use of synthetic intelligence strategies to their analysis (e.g., high-energy physics, astronomy, Earth sciences, and even robotics, videogames, or advertising and marketing and funds), in an effort to slim down the incoming way forward for electron microscopy, its challenges and outlook.