In the first part of this study, we propose a highly accurate model for predicting the dynamic power consumption of cloud computing devices. Our proposal takes advantage of the various sensors which ...

Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

Energy-aware system design is an important optimization task for static and mobile Internet of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles such as mobile ...

Increasingly, more devices are becoming power-constrained. “Power consumption is indeed a key metric for designers evaluating machine learning,” says Steve Roddy, vice president of product marketing ...

Qeexo, developer of the Qeexo AutoML automated machine-learning (ML) platform, and STMicroelectronics have announced the availability of ST’s machine-learning core (MLC) sensors on Qeexo AutoML. While ...

AI machine learning uses so much computing power and energy that it's typically done in the cloud. But a new microtransistor, 100X more efficient than the current tech, promises to bring new ...