Despite the advances in artificial intelligence (AI) technology, most mobile devices remain behind in adapting and implementing these changes in their software. More glaringly, any kind of mobile software that utilizes AI software (such as deep learning and neural networks) offloads these tasks online to outside networks.
It’s all due to one main reason: Power consumption.
Of course, brain-like AI systems require the use of large multi-core graphics processors, which isn’t practical for the purposes of mobile devices. Additionally, they require a lot of energy for functioning, which is a big downside for mobile devices that are battery conscious. As such, most software developers for mobile decide instead to process these energy hungry tasks on the cloud instead of on the phone.
At the International Solid State Circuits Conference in San Francisco this week, MIT researchers announced that they have made a new chip dubbed “Eyeriss” that could be used to implement neural networks, one of the fundamental tech behind AI technology.
It has 10 times the efficiency of most mobile graphics processors that could allow future mobile devices to run powerful AI algorithms locally.