The ESP32 by Example course, paired with Prof. Jim Solderitsch’s guidance, teaches you the hardware, code, and systems behind ...

Like in nature, development tools for embedded systems form “ecosystems.” Some ecosystems are very self-contained, with little overlap on others, while other ecosystems are very open and broad with ...

Artificial intelligence is no longer confined to massive data centers or sci-fi dreams. It’s showing up in the tools, workflows, and devices embedded developers work with daily. From voice recognition ...

Edge Computing and Embedded Systems constitute a critical research field at the intersection of hardware design, network architecture, and intelligent software systems. Edge computing refers to the ...

As we turn the page to 2025, it’s impossible not to reflect on the transformative trends of 2024. From the growing influence of AI to the rise of modern languages like Rust and the increasing focus on ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Anyone who is involved in technology at almost every level knows about generative AI. Businesses all over the world are leveraging it to help make their workforces more efficient, and even more ...

MITRE, in collaboration with researchers from three other organizations, this week released a draft of a new threat-modeling framework for makers of embedded devices used in critical infrastructure ...

The right blend of tools, technologies, and strategies can help developers harness the power of CD, enabling higher quality and more robust embedded systems. The convergence of software and hardware ...