Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.

Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

Discover how automation, AI, and organoid technologies are improving drug discovery through scalable workflows.

Abstract: Integrated sensing and communications (ISACs) is emerging as a cornerstone technology for sixth-generation (6G) wireless systems, unifying connectivity and environmental mapping through ...

AI-powered plugin generators promise to democratise development – but is vibe coding really the future of plugin design, or ...

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

The global audio market has reached a point of saturation where hardware specifications—such as frequency response and driver materials—often provide diminishing returns in consumer perception. Most ...

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...

NGC2 enables soldiers and commanders to use a common platform for battle planning in multiple locations and with multiple ...

Multiview isn't a feature you bolt on. It's an architecture decision that shapes which devices you can reach, how much you pay to operate at scale, and how much control your product team has over the ...

Pioneering the Use of Intel Xeon 6 and Arc Pro B60 to Accelerate Scalable Enterprise Generative AI Applications TAIPEI, June ...

As economic inequality, demographic shifts, regional conflicts, and environmental risks reshape migration flows, securing the ...