Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

Inference cost curves are compressing at a rate that erodes pricing power for seat-based SaaS faster than most vendor roadmaps can adapt. Bain & Company’s Technology Report 2025 documents OpenAI’s ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

From advanced nickel alloys to subsea monitoring systems, this article examines how materials science, surface engineering, ...

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...

Siemens has established a unified data platform that connects design through production for HD Hyundai's global shipyards.

Nvidia is putting its AI infrastructure, models, and libraries together with virtual twin technology from 3D design software vendor Dassault Systèmes to build a shared architecture the companies ...

Data centers have long been the backbone of the global digital economy, supporting cloud computing, enterprise applications, and the vast expansion of artificial intelligence (AI). But as digital ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

As we move deeper into AI transformation, there is a growing tendency to focus on the obvious productivity gains. Generative ...

Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.