Jacob Beningo is an embedded software consultant who specializes in real-time, microcontroller-based systems. He actively promotes software best practices through numerous articles, blogs, and ...

Streamlined development platforms are now critical to edge AI deployment as larger AI/ML models raise complexity, time, and cost across embedded workflows.

Cadence Design Systems Inc. has introduced the Maestro AI Model Portfolio, a collection of domain-specialized artificial intelligence models designed to power agentic workflows across semiconductor ...

STMicroelectronics (ST) is advancing its proprietary silicon photonics (SiPho) and BiCMOS technologies to support optical interconnects in data centers and artificial-intelligence clusters. These ...

Analysts were caught off guard when STMicroelectronics stunned the industry with a bold $950 million acquisition of NXP’s MEMS (Micro-Electro-Mechanical Systems) sensor business—an assertive move amid ...

Embedded World 2026 Wrap-Up. In this video conversation, Nitin Dahad, executive editor of EE Times, and Jim McGregor, principal analyst at TIRIAS Research, discuss their key obser ...

Cooling failures remain the second-leading cause of data center outages. Downtime is now more costly than hardware loss, making early detection critical. The ability to detect leaks at the source and ...

Axiom Space and Spacebilt will work together to put an Orbital Data Center Node (AxODC Node ISS) on the International Space Station (ISS) in 2027. This is another step forward for the idea of orbital ...

The release builds on the recent announcement of Level 4 autonomy in electronic design automation (EDA). Cadence said the rapid transition to Level 5 was enabled by a combination of secure agent ...

In this Product How-To article, TI’s Joseph Coombs describes the problems developers have in meeting the strict real-time requirements of embedded systems and how use of the company’s StarterWare set ...

AI on edge devices is transforming the world of embedded electronics with advanced computing capabilities directly on low-power devices. Traditionally, neural networks have required powerful hardware ...

The surge in complexity of modern SoCs, driven by the integration of heterogeneous compute elements, advanced packaging techniques, and stringent power and performance demands, has led to an ...