AI-driven workloads are transforming the performance and efficiency requirements of embedded infrastructure systems.

The new CX7291 and CX7293 deliver upgraded processing power with flexible fieldbus interfaces and integrated multifunction ...

As embedded and IoT systems grow more connected and critical, their security risks extend well beyond traditional software ...

Marketing hype is calling everything an agent, but mislabeling automations or souped-up chatbots as agents is a governance ...

Transforming basic robotics kits, a student-led startup is redefining a complete learning path, from beginner projects to ...

In 2025, Anthropic will grow from $1 billion to $9 billion in ARR (annual recurring revenue). OpenAI, meanwhile, will go from ...

The print edition of Merriam-Webster was once a touchstone of authority and stability. Then the internet brought about a ...

This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...

There is also a dance studio, complete with a wood floor and large mirrors. Here scientists record the movements of human ...

While LLMs have been the most visible use case for generative AI, it is a mistake to believe LLMs are the end state for generative AI when it's just the beginning.

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

This FAQ will look at a lesser-known but commercially available RAM technology called resistive random-access memory (RRAM) ...