Much effort is being made to develop new types of memory devices that can revolutionize the computing paradigm of the past half century. Major breakthroughs are needed, in particular, in the domain of Deep Learning as a subset of Artificial Intelligence. In-memory computing and brain inspired neuromorphic hardware are the driving principles for this paradigm shift. Recently, a team of scientists at the Max Planck Institute of Microstructure Physics, Halle (Saale), and SEMRON GmbH, Dresden, Germany, have successfully demonstrated a unique capacitive memory technology with unprecedented energy-efficiency. The technology can easily be implemented using conventional silicon manufacturing processes and systems, thereby paving the way to its rapid commercialization and adoption in many application domains. The results were published in Nature Electronics on October 11th.