Through training, companies are trying to nurture their best talent and promote from within while balancing the expectations of senior staff and leadership.

For the first time, heavy-duty trucking fleet managers and technicians can actually partner with intelligent machines to ...

Engineering leaders rarely get perfect information, so the job is learning how to decide, experiment and communicate clearly when the data is messy.

Terrorist attacks, whether by individuals or groups, are usually followed by attempts to explain the rationale and causes behind them. The core reasons, ...

Elevate your Bash skills with three must-know patterns for robust error handling.

Abstract: Accurately inferring the causality among variables is essential for diagnosing the root causes of industrial process faults. The multimode characteristics of industrial processes augment the ...

In the competitive world of electronics manufacturing, a profound truth often goes unrecognized until expensive lessons force ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

Volunteering in the Pro-Life movement in the 1990s, I remember praying for the overturning of Roe v. Wade as if it would ...

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Rev Monte Tugwete Across continents, the issue of race and race relations has been under discussion for many years with scholarship also focussing on it at the same time. However, despite progressive ...