Explore the future of embedded systems development with Claude Code. Learn how AI tools could deliver high-quality code faster.

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

What is physical AI and how does it extend edge AI running on embedded hardware? Why hardware/software co-design is vital for engineers working with physical AI. Where physical AI is headed, from ...

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

Build a production-ready design system with Figma Make and AI, including colors, typography, spacing, and components, to ship ...

All kinds of virtual machines (VMs) are available, with many finding homes in embedded applications. Platforms like the Java virtual machine (JVM) are used on servers and embedded applications with ...

One key trend that will shape 2026 is embedded investing, as more companies across diverse spaces consider adding investing and trading features like microinvesting to their offerings. The work begins ...

Learn about agentic design automation, which Mark Ren, CEO of Agentrys and DesignCon keynote speaker, says will lead us into ...

Rising memory prices are creating fresh cost challenges for IC design firms, particularly those producing chips with embedded memory. While most chip designers feel the impact indirectly, vendors ...

Companies Showcase Integrated Solution for Precise Distance and Angle Estimation for Developer Lab Environments ...

The future community will include a 3-acre farm. The future master-planned community will include a communal farmland component, with small crops and holiday markets. Image by E/AdobeStock Murphy ...

Astellas Pharma and AstraZeneca are joining Bristol Myers Squibb by deploying Evinova’s artificial-intelligence-native platform in an effort to speed up clinical development.