AI hardware design could filter out irrelevant visual data to reduce energy use
When we read a car’s license plate, we tend to focus on the numbers and letters, paying little attention to the surrounding buildings or sky. An artificial-intelligence (AI) system, however, may still process those surrounding details, consuming energy even when they contribute little to the task. As cameras capture ever more detailed images, this unnecessary processing wastes more energy—a growing problem for electronics with limited power, such as battery-powered security cameras, drones and other edge devices.
Livermore, Calif., renowned for research and vineyards, is plowing in a new distinction: the birthplace of the first commercially available smart tractor. Local startup Monarch Tractor has announced the first of six Founder Series MK-V tractors are rolling off the production line at its headquarters. Constellation Brands, a leading wine…
University of Washington researchers developed the first system that incorporates tiny cameras in off-the-shelf wireless earbuds to allow users to talk with an AI model about the scene in front of them. For instance, a user might turn to a Korean food package and say, "Hey Vue, translate this for…
The do-it-yourself climate modeling movement is here. Researchers from Northwestern University and Argonne National Laboratory have been launching NVIDIA Jetson-driven edge computing Waggle devices across the globe to collect hyper-local climate information. Waggle is an open source sensor platform for edge computing developed by Argonne. Working with this, scientists share…