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Gaithersburg

Recorded Webinars and Training Videos

OWM develops and delivers a wide range of legal metrology, metric, and weights and measures recorded webinars and training videos that can be used for training and continuing education, both in a formal setting and through self-study.

2066 Fundamentals of Metrology

Mon, Jul 27 - Fri, Jul 31 2026
The 5-day Fundamentals of Metrology seminar is an intensive course that introduces participants to the concepts of

2059 Basic Uncertainty Concepts

Thu, May 28 2026, 2:00 - 4:00pm EDT
This 2-hour webinar provides a very basic introduction to uncertainty calculations and reporting using the 8-step

Manufacturing in America

The “Manufacturing in America” infographic highlights how manufacturing contributes to our nation’s economy, employment, and innovation and...

Anyone for Anyons?

Researchers have demonstrated that a strange type of quantum particle called the anyon, believed to exist in only two dimensions, can also be created in one...

Jeffrey Voas named as 2024 ACM Distinguished Member

Jeffrey Voas has been selected as a 2024 ACM Distinguished Member for his contributions to software fault injection methodologies, software testability assessments, and software certification methods. The ACM Distinguished Member designation is...

Standards in Visualization

Standards in visualization has a profound impact on the ability for an industry to produce portable and interoperable applications. The...

Cryptographic Technology Group wins Research Impact Award

NIST's Cryptographic Technology Group has been selected to receive the Research Impact Award for their research leading to new post-quantum cryptographic standards. Congratulations to Dr. Dustin Moody, Dr. Angela Robinson, Mr. Andrew Regenscheid, Dr...

Extracellular Vesicles Focus Areas

To enhance measurement reliability in extracellular vesicle (EV) technology, NIST's flow cytometry research focuses on: Standardized cell...

ACMD Seminar: Calibration and Verification of Expensive Chaotic Models; Short Runs, Ensembles, and Approximate Gradients

Expensive chaotic models, like those used in weather simulation, present a unique set of challenges for tasks like validation and calibration. Often, they are computationally expensive, highly sensitive to parameters, and are written in languages that don't support approaches like automatic differentiation. This talk will provide an overview of approaches that employ ultra-short runs and ensembles to address these challenges with a specific focus on methods to detect unwanted changes in large model codes.
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