DOE/Argonne National Laboratory Artificial intelligence, or AI, requires a huge amount of computing power, and versatile hardware to support that power. But most AI-supportive hardware is built around the same decades-old technology, and still a long way from emulating the neural activity in the human brain. In an effort to solve this problem, a group of scientists from around the country, led by Prof. Shriram Ramanathan of Purdue University, has discovered a way to make the hardware more efficient and sustainable. "We're creating hardware that is smart enough to keep up (with advancements in AI) and also doesn't use too much energy. In fact, the energy demand will be cut significantly using this technology." -- Argonne physicist Hua Zhou