However, researchers at the University of Michigan are claiming the first memristor-based programmable computer that has the potential to make AI applications more efficient and faster. Because memristors have a memory, they can accumulate data in a way that is common for -- among other things -- neural networks. The chip has both an array of nearly 6,000 memristors, a crossbar array, along with analog to digital and digital to analog converters. In fact, there are 486 DACs and 162 ADCs along with an OpenRISC processor. According to the paper, the chip turned in 188 billion operations per second per watt while consuming about 300 mW of power.