Enabling In-Memory Computing for Artificial Intelligence Part 1: The Analog Approach - Intel Communities

Hechen Wang is a research scientist for Intel Labs with interests in mixed-signal circuits, data converters, digital frequency synthesizers, wireless communication systems, and analog/mixed-signal compute-in-memory for AI applications. The fundamental building block of computer memory is the memory cell; an electronic circuit that stores binary information. In the conventional approach to data processing, the data resides on a hard disk in the system or attached by a network. When needed, it's called into the local system memory, or RAM, and then moves to the CPU. The lengthy process is relatively inefficient, so researchers began to seek an alternative.