The Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.

The CrisisFACTS track focuses on temporal summarization for first responders in emergency situations. These summaries differ from traditional summarization in that they order information by time and produce a series of short updates instead of a longer narrative.

The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime.

This dataset hosts the code required to replicate the findings discussed in the research paper entitled: "A Simulation Study of mmWave 5G-enabled Medical Extended Reality (MXR)" by Tanguy Ropitault, Yongkang Liu, Richard Rouil, and Mohamad Omar Al Kalaa. Our study explores a 5G Medical Extended Reality (MXR) setup, in which a surgeon uses a headset to perform surgeries, leveraging the capabilities of MXR technology.

Datasets for the four published figures in the Paper "AC Metrology Applications of the Josephson Effect ".

Metadata for all final NIST Technical Series publications available online, created and maintained by the NIST Research Library.

Dataset for publishable figures in a "On-Chip Frequency Conversion Using Kinetic Inductance Within a Coplanar Waveguide" manuscript to be submitted to IEEE Transactions on Applied Superconductivity. This work presents a method of frequency conversion which exploits the kinetic inductance of a superconducting coplanar waveguide. Both frequency doubling and tripling are examined, with attention paid to conversion efficiency. This approach allows up-conversion to be implemented in a cryogenic environment, which can simplify the design of cryogenic systems.

A heterogeneous dataset of human measurement data and human-generated text. This dataset was generated by TechSolve Inc. (techsolve.org) as a collaborative effort with NIST. Respondents were asked to observe and evaluate a machining process in which a rotary bit (the "tool") removed layers of a workpiece until the tool was worn to exhaustion. One trial and 19 official experiments were completed, one for each of 20 tools.

RM 8210 Electronic files containing certified values and their uncertainties, and the data used to assign those values.

Individual user responsibility: working data, derived data Data must be backed up using a tested/automated process: working data, derived data; published data resource data Not available to the public: working data; derived data Made available to the public as described below: Published data and Resource dataThe Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.