Artificial intelligence (AI) computing requires tremendous amounts of electricity, but targeted research might hold the key to greatly reducing that. However, a team of researchers in the U.S. has developed technology that could reduce the energy consumption required by AI processing by a factor of at least a thousand.
A group of engineering researchers at the University of Minnesota Twin Cities have demonstrated an AI efficiency-boosting technology and published a peer-reviewed paper outlining their work and findings. The paper was published in npj Unconventional Computing, a peer-reviewed journal by Nature. In essence, they’ve created a shortcut in the normal practice of AI computations that greatly reduces the energy requirement for the task.
