USask post-doctoral fellow Hao Zhang has developed a new artificial intelligence computer model that holds promise for making "smart" apps such as Siri safer, faster and more energy efficient. A new University of Saskatchewan (USask) artificial intelligence computer model holds promise for making "smart" apps such as Amazon, Apple, and Google's virtual assistants safer, faster and more energy efficient. "Smart" services such as facial recognition, weather forecasting, virtual assistants, and language translators rely on an artificial intelligence (AI) technology called "deep learning" to predict user patterns. But these AI processes often require too much storage to be run locally on mobiles, so the data is sent to external servers over the Internet, which requires lots of power, drains the phone battery, and may increase a user's privacy risk. "My method breaks down the AI computational processes in smaller'chunks' and this helps run the'smart' apps locally on the phone, rather than relying on external servers, while reducing power consumption," said Hao Zhang, a USask electrical and computer engineering post-doctoral fellow.

A new University of Saskatchewan (USask) artificial intelligence computer model holds promise for making "smart" apps such as Amazon, Apple, and Google's virtual assistants safer, faster and more energy efficient. "Smart" services such as facial recognition, weather forecasting, virtual assistants, and language translators rely on an artificial intelligence (AI) technology called "deep learning" to predict user patterns. But these AI processes often require too much storage to be run locally on mobiles, so the data is sent to external servers over the Internet, which requires lots of power, drains the phone battery, and may increase a user's privacy risk. "My method breaks down the AI computational processes in smaller'chunks' and this helps run the'smart' apps locally on the phone, rather than relying on external servers, while reducing power consumption," said Hao Zhang, a USask electrical and computer engineering post-doctoral fellow. "This research may lead to a different way to design apps and operating systems for our digital devices such as tablets, phones and computers."