A hallmark of brain-inspired computing is the intricately intermixed memory and compute architecture that strongly contrasts with conventional von Neumann ones with memory separated from computing elements. Digital processing element array architectures partially resolve this issue. An even more radical shift is offered by the In-memory computing (IMC) architectures where processing is performed entirely within the memory array with only the results being readout. This tutorial will discuss two broad types of IMC based on Non-volatile and volatile memories. Analog computing techniques for accelerating matrix-vector multiplications using non-volatile RRAM will be the focus in the first half of the tutorial. The second half will deal with SRAM based in-memory image processing for dynamic vision sensors (DVS) event cameras and discuss particular case studies of traffic monitoring for the internet of video things.