Category Archives: @NIST

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Artificial Intelligence Standards

U.S. Artificial Intelligence Safety Institute

ANSI Response to NIST “A Plan for Global Engagement on AI Standards”

On April 29, 2024 NIST released a draft plan for global engagement on AI standards.

Comments are due by June 2. More information is available here.

 

Request for Information Related to NIST’s Assignments

Under Sections 4.1, 4.5 and 11 of the Executive Order Concerning Artificial Intelligence 

The National Institute of Standards and Technology seeks information to assist in carrying out several of its responsibilities under the Executive order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence issued on October 30, 2023. Among other things, the E.O. directs NIST to undertake an initiative for evaluating and auditing capabilities relating to Artificial Intelligence (AI) technologies and to develop a variety of guidelines, including for conducting AI red-teaming tests to enable deployment of safe, secure, and trustworthy systems.

Regulations.GOV Filing: NIST-2023-0009-0001_content

Browse Posted Comments (72 as of February 2, 2024 | 12:00 EST)

Standards Michigan Public Comment

 


Unleashing American Innovation

Federal Agency Conformity Assessment

Time & Frequency Services

Technical Requirements for Weighing & Measuring Devices

Why You Need Standards

Summer Internship Research Fellowship

A Study of Children’s Password Practices

Human Factors Using Elevators in Emergency Evacuation

Cloud Computing Paradigm

What is time?

Readings / Radio Controlled Clocks

Standard Reference Material

What is time?

“What then is time? If no one asks me, I know what it is.

If I wish to explain it to him who asks, I do not know.”

Saint Augustine (“Confessions” Book XI)

 

When did time zones become a thing?

Readings / Radio Controlled Clocks

Standards Curricula Program

NIST Headquarters (Click on image)

2024 Update: NIST Awards Funding to 8 Universities to Advance Standards Education


The Standards Coordination Office of the National Institute of Standards and Technology conducts standards-related programs, and provides knowledge and services that strengthen the U.S. economy and improve the quality of life.  Its goal is to equip U.S. industry with the standards-related tools and information necessary to effectively compete in the global marketplace. 

Every year it awards grants to colleges and universities through its Standards Services Curricula Cooperative Agreement Program  to provide financial assistance to support curriculum development for the undergraduate and/or graduate level. These cooperative agreements support the integration of standards and standardization information and content into seminars, courses, and learning resources. The recipients will work with NIST to strengthen education and learning about standards and standardization. 

The 2019 grant cycle will require application submissions before April 30, 2019 (contingent upon normal operation of the Department of Commerce).  Specifics about the deadline will be posted on the NIST and ANSI websites.  We will pass on those specifics as soon as they are known.

The winners of the 2018 grant cycle are Bowling Green State University, Michigan State University,  Oklahoma State University, and Texas A&M University. (Click here)

The University of Michigan received an award during last year’s grant cycle (2017).   An overview of the curriculum — human factors in automotive standards  — is linked below:

NIST Standards Curricula INTRO Presentation _ University of Michigan Paul Green

Information about applying for the next grant cycle is available at this link (Click here) and also by communicating with Ms. Mary Jo DiBernardo (301-975-5503; [email protected])

LEARN MORE:

Click here for link to the previous year announcement.

Technical Requirements for Weighing & Measuring Devices

 

 

Innovation and Competitiveness in Artificial Intelligence

The International Trade Administration (ITA) of the U.S. Department of Commerce (DOC) is requesting public comments to gain insights on the current global artificial intelligence (AI) market. Responses will provide clarity about stakeholder concerns regarding international AI policies, regulations, and other measures which may impact U.S. exports of AI technologies. Additionally, the request for information (RFI) includes inquiries related to AI standards development. ANSI encourages relevant stakeholders to respond by ITA’s deadline of October 17, 2022.

Fueling U.S. Innovation and Competitiveness in AI: Respond to International Trade Administration’s Request for Information

Commerce Department Launches the National Artificial Intelligence Advisory Committee

 

Cloud Computing Paradigm

“The greatest danger in modern technology isn’t that machines will begin to think like people,
ut that people will begin to think like machines.”
— Michael Gazzaniga

NIST Cloud Computing Standards Roadmap

The “next big thing” reveals itself in hindsight.  Some areas of interest and potential advancements include:

  1. Edge Computing: Edge computing brings computation closer to the data source, reducing latency and bandwidth usage. It enables processing and analysis of data at or near the edge of the network, which is especially important for applications like IoT, real-time analytics, and autonomous systems.
  2. Quantum Computing: Quantum computing holds the promise of solving complex problems that are currently beyond the capabilities of classical computers. Cloud providers are exploring ways to offer quantum computing as a service, allowing users to harness the power of quantum processors.
  3. Serverless Computing: Serverless computing abstracts away server management, enabling developers to focus solely on writing code. Cloud providers offer Function as a Service (FaaS), where users pay only for the actual execution time of their code, leading to more cost-effective and scalable solutions.
  4. Multi-Cloud and Hybrid Cloud: Organizations are increasingly adopting multi-cloud and hybrid cloud strategies to avoid vendor lock-in, enhance resilience, and optimize performance by distributing workloads across different cloud providers and on-premises infrastructure.
  5. Artificial Intelligence and Machine Learning: Cloud providers are integrating AI and ML capabilities into their platforms, making it easier for developers to build AI-driven applications and leverage pre-built models for various tasks.
  6. Serverless AI: The combination of serverless computing and AI allows developers to build and deploy AI models without managing the underlying infrastructure, reducing complexity and operational overhead.
  7. Extended Security and Privacy: As data privacy concerns grow, cloud providers are investing in improved security measures and privacy-enhancing technologies to protect sensitive data and ensure compliance with regulations.
  8. Containerization and Kubernetes: Containers offer a lightweight, portable way to package and deploy applications. Kubernetes, as a container orchestration tool, simplifies the management of containerized applications, enabling scalable and resilient deployments.

 

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