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2025 NIST GenAI Text Challenge Evaluation Plan

Author(s)
Seungmin Seo, Hariharan Iyer, Yooyoung Lee
The NIST Generative AI (GenAI) Text Challenge is an evaluation program designed to probe the capabilities and limitations of generative AI models from three...

2025 NIST GenAI (Pilot): Code Challenge Evaluation Plan

Author(s)
Peter Fontana, Yooyoung Lee, Hariharan Iyer, Sonika Sharma
We are launching a pilot for measuring and evaluating unit tests generated by Artificial Intelligence (AI) for testing elementary python code. This pilot will...

INTERNATIONAL ROADMAP FOR DEVICES AND SYSTEMS TM 2024 METROLOGY

Author(s)
Yaw Obeng, Elisabeth Mansfield, Albert Davydov, Bryan Barnes, Andras Vladar
The Metrology Chapter identifies emerging measurement challenges from devices, systems, and integration of new materials in the semiconductor industry and...

NIST Seafood Reference Materials for Authenticating Imported Products

Author(s)
Debra Ellisor, Amanda Bayless, William Davis, Tracey Johnston, Mary Gregg, Angela Folz, Antonio Possolo
Seafood is one of the most highly-traded international commodities and product price is determined by characteristics which can be potentially falsified at...

Supporting Production Consistency for Cement

Author(s)
Aron Newman, Cody Strack
Concrete is the second most used substance in the world after water. Concrete manufacturers produce 14 billion cubic meters annually, with a market size of $440...

Odd-Parity Quasiparticle Interference in the Superconductive Surface State of UTe2

Author(s)
Shuqiu Wang, Kuanysh Zhussupbekov, Joseph Carroll, Bin Hu, Xiaolong Liu, Emile Pangburn, Adeline Crepieux, Cathrine Pepin, Christopher Broyles, Sheng Ran, Nicholas Butch, Shanta Saha, Johnpierre Paglione, Cristina Bena, J. Davis, Qiangqiang Gu
Although no known material exhibits intrinsic topological superconductivity, wherein spin-triplet odd-parity electron pairing occurs, UTe2 is now the leading...

2025 NIST GenAI (Pilot) Evaluation Plan for Image Discriminators

Author(s)
George Awad, Hariharan Iyer, Seungmin Seo, Peter Fontana, Yooyoung Lee
In this NIST Generative AI (GenAI) program, we invite and encourage participating teams from academia, industry, and other research labs to support research in...

2025 NIST GenAI (Pilot) Evaluation Plan for Image Generators

Author(s)
George Awad, Hariharan Iyer, Seungmin Seo, Peter Fontana, Yooyoung Lee
In this NIST Generative AI (GenAI) program, we invite and encourage participating teams from academia, industry, and other research labs to support research in...

Error Floor Prediction with Markov Models for QC-MDPC Codes

Author(s)
Sarah Arpin, Jun Bo Lau, Ray Perlner, Angela Robinson, Valentin Vasseur, Jean-Pierre Tillich
Quasi-cyclic moderate-density parity check (QC-MDPC) code-based encryption schemes under iterative decoders offer highly-competitive performance in the quantum...

Software Metrics: Impossible, but Doable

Author(s)
Paul Black
Software metrics are theoretically impossible. However, there is tremendous benefit if we can assess properties of computerized systems. We review the elements...

RaDAR Sample Collection Resources

Author(s)
Edward Sisco
This entry contains slides and videos that are intended to posted on the RaDAR website to provide RaDAR collaborators with easy access with sample collection...

Measuring social consensus

Author(s)
David W. Flater
Many organizations describe their processes as consensus-driven, but there is no consensus on the definition of consensus. Qualitative definitions of consensus...

Appendix F: Software Security in Supply Chains

Author(s)
Jon Boyens
The President's Executive Order (EO) on "Improving the Nation's Cybersecurity (14028)" issued on May 12, 2021, charges multiple agencies – including NIST – with...

A graph-theoretic approach to analyzing decoding failures of BIKE

Author(s)
Sarah Arpin, Tyler Raven Billingsley, Daniel Rayor Hast, Jun Bo Lau, Ray Perlner, Angela Robinson
We present experimental findings on the decoding failure rate (DFR) of BIKE, a fourth-round candidate in the NIST Post-Quantum Standardization process, at the...
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