AI in engineering: Engineering teams are adopting AI tools to speed up design iteration, detect system issues earlier, and scale internal expertise without replacing core CAD and simulation systems.

From aerospace simulations to data analysis and robotics, MATLAB is a powerhouse for engineering students and professionals. With tools for modeling, optimization, and hardware integration, it bridges ...

Viavi expanded its line of fiber monitoring solutions with the launch of its next-generation Fiber Test Head for Distributed Acoustic Sensing (FTH-DAS) platform. The vendor explained that the offering ...

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 ...

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 ...

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 ...

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.

Abstract: This article presents an empirical investigation of failure modes in large language model (LLM)-powered embedded machine learning pipeline, based on an autopilot framework that orchestrates ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Our group is currently working on energy-efficient computer vision and multimodal deep learning for a wide range of applications (e.g., smart healthcare). We focus on cutting-edge research including i ...

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