Cadence’s dual announcements with NVIDIA and Google mark pragmatic steps in the industry’s transition toward intelligent, ...

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

The compiler analyzed it, optimized it, and emitted precisely the machine instructions you expected. Same input, same output.

Panel-level packaging is arriving not because the engineering is ready, but because wafer-level economics are breaking down.

Learn how AI design copilots are redefining engineering speed, creativity, and system-level innovation.

The automotive industry is transitioning to software-defined vehicles, using modular architectures, AI-driven validation, and ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

Anthropic launched Claude Design, an AI tool that turns text prompts into interactive prototypes, alongside its most powerful ...

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended to govern those capabilities are struggling to keep pace. AI company OpenAI ...

As AI becomes further incorporated into the lab environment, it is critical that those using it implement safe and compliant behaviours.

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

Flexcompute, a physics company building simulation and AI systems for engineering, empowers teams to accelerate complex ...