Artificial Intelligence (AI) and Robotics are quickly becoming key technologies in the embedded systems field. AI and Machine Learning (ML) enable devices to learn and adapt to their environments, ...

Explore the core differences between embedded systems and robotics engineering. Understand their unique applications, fundamental concepts, and how these fields intersect and diverge in technology and ...

Prepare for Safety-Critical Embedded Systems at MTU. When software lives inside machines, failure isn’t an inconvenience—it’s a safety, reliability, and security risk. From vehicles and aircraft to ...

Embedded systems power everything from smart agriculture sensors to life-saving medical implants. As their numbers swell into the tens of billions, the engineering community faces a pivotal challenge: ...

At the intersection of hardware and software architecture, embedded systems are integral in applications including smart devices, wearables, autonomous systems, security and defense technologies, ...

AI is vying for circuit and embedded-system design jobs, but in 2025, it still requires a seasoned engineer to ride shotgun. Insight into AI and its use as a tool to design circuits and embedded ...

As an infrastructure engineer at Meta, the technology company formerly known as Facebook, Abhishikta Pandit’s team is building augmented and virtual reality (ARVR) platforms that could open new ...

If there is one thing in software engineering that is a given, it’s that engineers need continuous education. While graduating college might have made us think that we were “done,” the truth is that ...

The rise of Artificial Intelligence (AI) and Large Language Models (LLMs) has revolutionized the digital world, but it has also disrupted the tech industry, once considered a safe haven for engineers.