A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.

The Embedded Machine Intelligence Lab at ASU is integrating AI into wearable technology to both personalize and assist in the monitoring of users' health and safety. The lab aims to create complex and ...

Abstract: As the number of embedded devices in commercial markets increase, it becomes increasingly important to secure these devices from malicious actors. In this paper, we demonstrate various ways ...

Elecrow’s “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 processor, offering AI, multimedia, and embedded features in a single, ...

Businesses can choose to leverage Domo’s end-to-end AI and Data Products Platform, or the composable component that best meets their needs “Modern organizations want more than dashboards; they want ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Several years ago, Amazon chief technology officer Werner Vogels began sharing predictions on how technology would likely impact our lives the following year. In the past, he has foreseen the impact ...