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.

Abstract: Neural network inference in embedded systems often faces computational and memory constraints, making hardware acceleration an essential optimization strategy. A primary feature of neural ...

All kinds of virtual machines (VMs) are available, with many finding homes in embedded applications. Platforms like the Java virtual machine (JVM) are used on servers and embedded applications with ...

Nursing informatics leaders say the most meaningful patient safety improvements tied to AI in nursing workflows so far have come from mature, predictable decision-support tools — while more ...

Abstract: The increasing adoption of Electric Vehicles (EVs) has placed significant demands on charging infrastructure, emphasizing the need for high-efficiency and high-quality power conversion. In ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

As robotics, wearable tech, and human-machine interfaces evolve, the demand for high-performance tactile sensors that can feel like human skin is surging. Now, researchers from the University of ...

Rugged edge computing brand - Cincoze has announced the new Machine Computing – MAGNET product line, a DIN-Rail embedded computer series. Following rugged embedded computers, industrial panel PCs, and ...

Python = 3.10.14 PyTorch = 1.13.1 torchvision = 0.14.1 Numpy = 1.26.4 matplotlib = 3.8.0 ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...