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The Global Community Technology Challenge (GCTC) is a U.S. smart cities and communities program led by the Smart Connected Systems Division of the National
In the recently published Research Handbook on AI and Communications , NIST researcher Dr. Edward Griffor, with academic collaborators, describes the importance
On January 18, 2024, NIST welcomed Dr. Paul Perrone, Founder and CEO of Perrone Robotics, Inc., to give a NIST Colloquium presentation on “ Autonomous Vehicles
On November 28, 2023, the NIST Global Community Technology Challenge ( GCTC) presented three smart city projects on a panel at the Smart Cities Connect
NIST helped to foster awareness, debate, and education at the Technical Language Processing (TLP) Tutorial of the 15 th Annual Conference of the Prognostics and
At the 2023 INFORMS Annual Meeting, NIST researcher Mehdi Dadfarnia presented research findings based on use of NIST-developed SimPROCESD software, which can
NIST released an updated version of its Interagency Report on Advanced Communication Technologies Standards which is a guide for Federal agencies on standards
On September 12, 2023, NIST will conduct its 6G Core Networks Workshop, online and onsite at the National Cybersecurity Center of Excellence in Rockville
Wireless communications can enable Cyber-Physical Systems (CPS) and Internet of Things (IoT) systems that give industry greater flexibility in setting up and
NIST released its newest software version of SimPROCESD, or Simulated-Production Resource for Operations and Conditions Evaluation to Support Decision-Making
The National Science Foundation (NSF) has announced a new institute, led by the University of Maryland, which aims to transform the practice of AI from one
Today, automated systems can operate without human intervention and are increasingly being developed and deployed. In a presentation at the University of
NIST will hold a virtual workshop on Standards and Performance Metrics for On-Road Automated Vehicles (AV), September 5-8, 2023. Free registration and schedule
Distributed digital devices – such as smart phones and more – are updated and trained by means of “Federated Learning.” Basically, it involves a central server
JILA researchers have upgraded a breathalyzer based on Nobel Prize-winning frequency-comb technology and combined it with machine learning to detect SARS-CoV-2