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whitePaper | May 14, 2021
The purpose of this draft paper is to start a conversation about what it means to have confidence in the cybersecurity of IoT devices used by individuals and organizations and the various ways of gaining that confidence. This paper describes the landscape of confidence mechanisms that are currently available for establishing the security of IoT devices in the marketplace. In preparing this paper, NIST conducted extensive research on initiatives that can help to instill confidence in IoT device security and held a series of meetings with government and industry experts to glean information on the unique aspects and challenges in this space.
whitePaper | July 4, 2022
Explore uses of WiFi (6/6E/7) capabilities for Industrial IOT (IIOT) applications. Define and validate critical KPIs (latency, reliability, mobility, etc). Field trials of WiFi6E IIOT use-cases in progress (stand-alone & 5G/Wi-Fi convergence) Formalization of relationships with complimentary industry groups.
whitePaper | February 5, 2020
The Internet of Things (IoT) is a networked system of interconnected physical objects that have the capability of sharing data with each other and also with a cloud service for archiving and analysis. With IoT, data producing devices can easily publish data, and multiple consumer clients can receive that data from any location in the world.
whitePaper | January 15, 2020
The prospects are exciting. By enhancing resources with IoT, employees and organizations generate new value. Notable examples include improved air quality in cities and increased availability and reliability of rail vehicles of up to 99%. Other IoT implementations cut non-technical power losses in half, saving $150 million for an electric utilities company in Brazil, and reduce delivery days in electronics manufacturing from 25 to less than 7, improving quality at the same time.
whitePaper | August 14, 2023
Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings.
whitePaper | May 23, 2021
The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?
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