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There are few insights into how users' perspectives on smart home security and privacy differ depending on device category. This may leave the smart home
Maya Reslan, Matthew Triebe, Rishabh Venketesh, Ashley Hartwell
Lean manufacturing has gained popularity over the last few decades as a resource-efficient approach to manufacturing. The rise of smart factories and digital
Ryan O'Loughlin, Nicholas Skuda, Bakhrom Oripov, Sonia Buckley, Adam McCaughan
The brain implements recurrent neural networks (RNNs) efficiently, and modern computing hardware does not. Although specialized neuromorphic hardware is well
Yining Luo, Baobao Li, Anoop Singhal, Pei-Yu Tseng, Lan Zhang, Qingtian Zou, Xiaoyan Sun, Peng Liu
Large Language Models (LLMs) have shown promise in automating code vulnerability repair, but their effectiveness in handling real-world code remains limited
NIST is leading and supporting multiple efforts to develop standards for 3D imaging systems used for industrial automation. There are few standards for
Experts struggle with explaining cybersecurity in a language and tone appropriate for non-expert audiences. This communication gap may make it difficult for a
Bryan Barnes, Aaron Chew, Nicholas Jenkins, Yunzhe Shao, Martin Sohn, Regis Kline, Daniel Sunday, Purnima Balakrishnan, Thomas Germer, Steven Grantham, Clay Klein, Stephanie Moffitt, Eric Shirley, Henry Kapteyn, MARGARET MURNANE
Background: The industry is developing extreme-ultraviolet wavelength (EUV) techniques to measure critical dimensions (CDs) in logic fabrication. As nascent
The pharmaceutical (pharma) manufacturing sector is rapidly evolving to meet the global needs for faster, safer, and more efficient therapeutics. A key focus of
In semiconductor device manufacturing, 3D structure measurements of newly complex devices would be valuable alongside conventional scanning electron microscopy
3D stereo depth sensors have a variety of applications, including sensing for autonomous vehicles, reverse engineering, and manufacturing automation. The
3D stereo depth sensors have a variety of applications, including sensing for autonomous vehicles, reverse engineering, and manufacturing automation. The
Erin Lanus, Brian Lee, Jaganmohan Chandrasekaran, Laura Freeman, M S Raunak, Raghu Kacker, David Kuhn
Artificial Intelligence (AI) models use statistical learning over data to solve complex problems for which straightforward rules or algorithms may be difficult
Buddhika Hapuwatte, Ashley Hartwell, Richard Krock, Brian Whelan, Tribu Persaud
Increasing global efforts towards a circular economy and emissions reductions emphasize alternative pathways for end-of-use recovery of products through value
Picking a part from an unorganized pile of parts requires an accurate vision system integrated with a robotic arm. A proper metric for gauging pose error is
Aaron Cornelius, Gregory Vogl, Ryan Hall, Yongzhi Qu
The development of intelligent machine tools requires integrating sensors that allow the machine to monitor, diagnose, and control the machining process
Brandon Zink, Advait Madhavan, William Borders, Jabez McClelland
In-memory computing is a promising solution for solving the Von-Neumann bottleneck. In particular, computational random-access memory (CRAM) is a promising form
Machine learning models are increasingly used in critical applications but are mostly "black boxes" due to their lack of transparency. Local explanation
This paper showcases recent research at NIST on quantitative hyperspectral imaging of single cells and tissues with a variety of imaging contrasts including
Patrick McArdle, Bradley Pelz, Christopher Yung, Nathan Tomlin, John Lehman, Michelle Stephens
In this work we describe the use of a THz quantum cascade laser (QCL) to perform bi-directional reflectance distribution (BRDF) measurements. In particular we
Through the teaching of the International System of Units (SI) principles, Science, Technology, Engineering, and Mathematics (STEM) educators create a ripple
Peter Bajcsy, Brycie Wiseman, Michael Paul Majurski, Andras Vladar
The speed of in-line scanning electron microscope (SEM) measurements of linewidth, contact hole, and overlay is critically important for identifying the
Michelle Crouse, Malgorzata Musial, Jason Widegren, Jacob Pawlik, Bryan Bosworth, Nathan Orloff, Aaron Hagerstrom, Angela Stelson, Robert Lirette
Ultrasonic absorption spectroscopy can probe intermolecular interactions that inform research into chemical engineering and pharmaceutical manufacturing
Eugene Song, Thomas Roth, David A. Wollman, Eoin Jordan, Martin Serrano, Amelie Gyrard
Modern edge artificial intelligence (AI) chipsets and edge-intelligence-enabled smart sensors frameworks support real-time data processing and event detection
Eugene Song, Helbert da Rocha, Antonio Espirito-Santo, Riccardo Brama
Internet of Things (IoT) ecosystems are highly heterogeneous in terms of smart sensors/devices, connectivity, communication protocols, data formats, and
Eugene Song, Kang B. Lee, Hiroaki Nishi, Janaka Wejekoon
There are many challenges for Internet of Things (IoT) sensor networks including the lack of robust standards, diverse wireline and wireless connectivity
Due to the increasing demand for wireless services, the IEEE 802.11ax WLAN standard was released to enable improved performance, coverage, and spectrum
The Global Positioning System (GPS) is the most prevalent Global Navigation Satellite System (GNSS) that provides Position, Navigation, and Timing (PNT). GNSS
The L5 frequency band of GPS features a higher power, higher code rate, and superior performance in GNSS denied or degraded environments. GPS L5 is pre