Discover how quality control charts help track product standards, pinpoint issues, and ensure processes meet specifications with this essential tool for quality assurance.

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.

Executive SummaryOn December 8, the Trump administration announced plans to loosen U.S. export controls on artificial intelligence (AI) chips to China by approving the sale of Nvidia H200 chips—the ...

While the U.S. Army has applied emerging artificial intelligence (AI) tools to streamline processes across the enterprise — ...

AI adoption in law enforcement starts with defining the problem. Learn how data, sovereignty, and policy shape responsible, ...

Hatch is thrilled to be exhibiting, presenting, and sponsoring at the Canadian Mineral Processors Conference 2023 to be held on November 15-16 in Saskatoon, Canada. The regional conference will ...

New programs cannot turn out the numbers needed to make up for the controller shortfall. But they hope to have a higher success rate than the Federal Aviation Agency’s official academy. New programs ...

Controlled tactical aggression (CTA) refers to firefighters’ ability to operate with intensity, speed, and purpose—without losing control of the situation, your crew, or your decision making. It is ...

You’ll learn about instrumentation and valves. The article identifies the importance of positioners in fast loops. How first-principle dynamic simulations provide insights into compressor surge, ...

Strength training can improve your overall health by building stronger muscles and burning fat. It helps the body maintain healthy blood sugar levels and increases insulin sensitivity. It can also ...

Secretary of Transportation Sean Duffy is expanding the number of schools that can participate in a fast-tracked air traffic control training program, as the administration seeks more ways to address ...

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...