General-purpose humanoid robots need all their senses to function equally well; vision and movement are the farthest along, ...

For software-defined vehicles (SDVs), the traditional digital twin paradigm is no longer sufficient. Today’s vehicles ...

Chipmakers are starting to use AI to manage data that is mined from different “dashboards,” many of which are already ...

Connectivity density and power delivery complexity have made power integrity one of the most critical constraints in modern system design.

Battery management systems are growing increasingly smarter with innovations in software and hardware that enable more ...

The semiconductor ecosystem is wrestling with fragmented standards, IP exposure, and the urgent need for runtime assurance.

Developing AI-guided, patient-operated home ultrasound probes that can produce a reliable medical image. In a quiet farmhouse ...

PUE is a ratio that describes how efficiently a data center uses its power, developed by The Green Grid in 2007. It ...

This white paper explains how Synopsys Security IP embeds hardware‑rooted protection into AI SoCs and chiplets to secure ...

For SoC designs that include high-speed, voluminous I/O, it is essential that the prototype be exercised with large amounts ...

Synopsys’ Prith Banerjee identifies key challenges in designing AI data centers and why addressing them requires a transformative approach that impacts every aspect of the system design and its ...

A framework that establishes concrete device-specific security requirements upfront and verifies them at the end.