Teams talk about NLP – natural language processing – in test automation, yet many still ask what it truly means. They hear about tools that turn plain language into test scripts, but they want clear facts. This topic matters now because software teams face tight release cycles and constant change. NLP in test automation means […]
A guy spent $22,000 on a steel mold. Parts came back warped. The wall thickness was wrong. The factory said it was his design. He said it was their fault. Six months later, still no product. That story is not rare. It happens constantly to founders and engineers who skip the basics of injection molding. […]
Manufacturers in 2026 face a clear problem. Finding obsolete PLC parts is slow, expensive, and uncertain. What used to be a sourcing issue is now an operational risk. Even a minor PLC failure can stop production. Delays now impact output, timelines, and revenue. Why Obsolete PLC Parts Are Hard to Find PLC systems still run […]
Autonomous systems are designed for repetition. They are good in the situations where patterns can be memorized, charted, and anticipated with a high level of certainty. However, real-world driving is filled with edge cases, which do not scale well to datasets. Even a sophisticated system can be thrown off by a plastic bag floating along […]
As AI systems began acing traditional tests, researchers realized those benchmarks were no longer tough enough. In response, nearly 1,000 experts created Humanity’s Last Exam, a massive 2,500-question challenge covering highly specialized topics across many fields. The exam was engineered so that any question solvable by current AI models was removed. Early results show even the most advanced systems still struggle — revealing a surprisingly large gap between AI performance and true expert-level knowledge.
A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests. Models like GPT-4 showed strong performance on tasks designed to measure original thinking and idea generation, sometimes outperforming typical human responses. But there’s a clear ceiling. The most creative humans — especially the top 10% — still leave AI well behind, particularly on richer creative work like poetry and storytelling.
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact equations that still capture real behavior. The method works across physics, engineering, climate science, and biology. Researchers say it could help scientists understand systems where traditional equations are missing or too complicated to write down.