This study introduces a reliability assessment methodology for high grade steel large diameter natural gas pipelines, which systematically accounts for the correlations and nonlinear coupling effects ...

The accuracy of AI models is a critical factor limiting their large-scale application. Existing AI models hover around an accuracy rate of 70%-85%, which presents a significant gap from the ...

Overview Fine-tuning reshapes LLMs with focused knowledge for specialized use casesPrompt engineering improves results by ...

Some industry sectors such as automotive and medical continue to push for higher and higher reliability levels; however, many ...

In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, ...

Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try to predict the outcomes of new chemical reactions. These have had limited ...

Engineers are at the forefront of this shift, collaborating across fields to address challenges like congestion, energy ...

Mitsubishi Electric Corporation and Inria, France’s National Institute for Research in Digital Science and Technology (Institut national de recherche en sciences et technologies du numérique), ...

The “beyond extreme ultraviolet radiation” (B-EUV) process uses stronger radiation than traditional EUV, but doesn’t interact ...

Traditional engineering project data supervision often relies on centralized systems, which not only increases server deployment costs but is also vulnerable to single points of failure. The patent ...

"The best option for audio delivery always depends on the location and which options are available," says Tommy McElmeel of Family Radio.

Vamsi Krishna Koganti, a distinguished Senior Software Engineer and technology leader based in Celina, Texas, brings over 13 years of experience transforming enterprise-scale applications and ...