Analog multipliers circuits can provide signal processing asynchronously and clock free and with low power consumptions, which can be advantageous, including in emerging mobile, portable, and at edge or near sensor artificial intelligence (AI) and machine learning (ML) applications. As such, analog multipliers can process signals memory-free in AI and ML applications, which avoids the power consumption and latency delays attributed to memory read-write cycles in conventional AI and ML digital processors. Based on standard digital Complementary-Metal-Oxide-Semiconductor (CMOS) manufacturing process, the present invention discloses embodiments of multi-quadrant current-mode analog multiplier (iMULT) circuits that can be utilized in current-mode multiply-accumulate (iMAC) circuits and artificial neural network (ANN) end-applications that require high-volumes, low costs, medium precision, low power consumptions, and clock free asynchronous signal processing.