Rethinking Machine Learning For Power - AI Summary

Even with the introduction of fabrication technology advances, specialized architectures, and the application of optimization techniques, the trend is disturbing. Couple that with the explosion in edge devices that are adding increasing amounts of intelligence and it becomes clear that something dramatic has to happen. Today, most of the efforts are related to physically bringing the memory closer to the compute and where possible putting enough inside the package such the I/O costs are reduced. "One of the foundational ideas of analog is you can actually compute in the memory cell itself," says Tim Vehling, senior vice president for product and business development at Mythic. "If you look around the house, look at how many items are actually plugged into the wall in standby mode, all taking 5 or 10 watts," says Alexander Wakefield, scientist at Synopsys.