Health systems across the country are well past the pilot stage and deploying AI across clinical, operational and financial functions. CommonSpirit Health (Chicago) has approximately 250 active AI ...

Abstract: This paper investigates thermal management in tightly integrated heterogeneous chiplet systems, focusing on a novel approach using embedded thermal isolators. In many 2.5D systems, such as ...

New types of dashboards are being used in conjunction with AI to make sense of large quantities of data. These dashboards can be used to quickly identify and fix power and heat-related problems, such ...

Ask most embedded developers why they're still writing firmware in C, and you'll hear the same answer: "C++ is too heavy for embedded." That concern has merit. It's also more than 20 years out of date ...

“Without effective copyright protections, there is a grave risk that these organizations will no longer be able to produce the high-quality codes and standards that ...

Abstract: Spiking neural networks (SNNs) are attractive algorithms that pose numerous potential advantages over traditional neural networks. One primary benefit of SNNs is that they may be run ...

Production-grade, handle-based state machine framework for embedded C systems. State-agnostic, multi-instance, zero-heap, ISR-safe. Designed for bare-metal microcontrollers from Cortex-M0 to ...

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Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed them to steal the company’s source code and customer information. In a ...

Embedded designers and programmers tend to be a conservative lot who love to delve into the latest technology but adopt it after careful consideration. One of those technologies is vibe coding, which ...

AutoML for Embedded, developed by Analog Devices (ADI) and Antmicro, is an open-source plugin for Visual Studio Code that works alongside ADI’s CodeFusion Studio plugin. Built on the Kenning framework ...