As autonomous AI matures, the challenge is no longer collecting data but proving systems can handle rare, high-risk scenarios.

Understanding both the limitations of process simulations and the assessments that can be performed to verify modeling results are important in the design and development of technical processes in ...

Abstract: This paper presents a data fusion approach for calibrating pulsed E-field antennas used in high-amplitude, broadband electromagnetic field measurements. Due to the significant challenges in ...

To permanently access this App Note for free, fill out the short form below. Whether you are working with plants or livestock in high-throughput genomic workflows, sbeadex Lightning and the Lynx ...

When you talk to most custom and contract metal fabricators, they discuss building customer relationships into true partnerships. But what is a “partnership,” exactly? In most cases, volume enters the ...

Artificial intelligence (AI) is no longer a research concept — it is the economic engine driving infrastructure investment worldwide. The growth of AI data centers, powered by high-performance CPUs, ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

When Harvard scientist Kseniia Petrova was detained at Logan Airport in February and charged with bringing frog embryos into the country for research purposes without declaring them to customs, it ...

SALT LAKE CITY, UT, UNITED STATES, August 6, 2025 /EINPresswire.com/ -- The award-winning team at AllenComm, a full-service learning and development (L&D) provider ...

Producing modern semiconductor devices is an immensely challenging process. Successful execution entails advanced process nodes, novel device architectures, new materials, and many fabrication steps.