A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

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 ...

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 ...

Real-time instructional intelligence built into the lesson drives sharper decisions and stronger instruction — without added tests or tools. The new assessment system will launch in Imagine Learning's ...

SAN FRANCISCO—Health tech company Elation Health has embedded Anthropic's Claude into its electronic health record to power its artificial-intelligence-driven chart summaries. Elation Health provides ...

Supply chains have faced a steady rhythm of shocks: tariffs, pandemics, labor shortages and shipping bottlenecks, to name a few. Each one arrives suddenly, forcing leaders to react. A wave of U.S.

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 ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...