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 ...

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

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

Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

Although AI has introduced a new threat in the world of payments fraud, it has also emerged as the analytical backbone of next-generation fraud mitigation systems.

For the past few years, prompt engineering has become one of the most important skills in the AI era. Courses were built around it. Job titles were created for it. Entire communities formed to share ...

Meta is creating a new applied AI engineering organization to accelerate its superintelligence strategy and scale AI model development.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

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 ...

As end-use facilities for waste consolidate into more remote sites, the need for new transfer stations will continue to ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...