The article by Gary Marcus Deep Learning: A Critical Appraisal [1] dwells on the questions about the current achievements of in-depth training and artificial intelligence (AI). The overall tone of the work is pessimistic and tends to rethink the results, even if they are intermediate. Markus makes forecasts and writes about the possible consequences of another hype around AI technologies [2]. The article gives a vision on which direction to move while developing AI systems.

With exponentially accelerating scientific and technological progress, quantum technologies are gaining new impetus and promise the solution of numerous tasks that previously were not amenable to solution within the framework of “traditional” computing models. The consequences of the second quantum revolution will affect all spheres of life. Such branches as material science, nanotechnology, pharmacology, simulation of chaotic dynamic processes, etc. will gain new development. At the same time, quantum technologies carry certain risks and threats, in particular, the scrapping of all systems based on modern achievements in cryptography. The article gives a brief description of the current state of quantum technologies and the forecast of their development in terms of impact on various aspects of human civilization.