See how certified GoogleTest helps embedded teams lower training costs, simplify compliance workflows, and accelerate safety-critical software delivery with Parasoft.
See how certified GoogleTest helps embedded teams lower training costs, simplify compliance workflows, and accelerate safety-critical software delivery with Parasoft.
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
See how certified GoogleTest helps embedded teams lower training costs, simplify compliance workflows, and accelerate safety-critical software delivery with Parasoft.
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Researchers at ETH Zurich have, for the first time, created certifiably perfect random numbers using a quantum experiment. These can be used, for instance, for encrypting messages.
Researchers have developed a new kind of nanoelectronic device that could dramatically cut the energy consumed by artificial intelligence (AI) hardware by mimicking the human brain.
A compact, modular architecture combining industrial hardware, on-device anomaly detection, and a multi-agent AI layer for real-time HVAC diagnostics in laboratory environments.