Whereas physical obstacles were mostly associated with signal attenuation in telecommunications, their presence in 5G’s millimeter wave systems adds complex, non-linear phenomena, including reflections and scattering. The result is a multipath propagation environment, shaped by the obstacles encountered during transmission, indicating a strong and highly non-linear relationship between a device’s received radiation and its position. In this presentation, new ways to shape these signals will be discussed so as to estimate a mobile device’s position, including the physical intuition behind those accuracy-enhancing manipulations. To untangle the information hidden in the received signal into a mobile device position, different neural networks architectures can be employed, enabling a low-power single anchor positioning system. This positioning system can be further enhanced so as to track users, using short-term historical data and sequence learning approaches. The discussed system sets a new state-of-the-art for non-line-of-sight millimeter wave outdoor positioning accuracy, while having a much higher energy efficiency when compared to low-power GPS implementations, and thus answering the question in the title: yes, they can!