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Diagram of a Federated Learning protocol with smartphones training a global AI model. Federated learning (also known as collaborative learning) is a machine learning technique focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1]
Special Publications (SP) aside, most of the informative references requires a paid membership or purchase to access their respective guides. The cost and complexity of the framework has resulted in bills from both houses of Congress that direct NIST to create Cybersecurity Framework guides that are more accessible to small and medium businesses.
The NIST Enterprise Architecture Model is a five-layered model for enterprise architecture, designed for organizing, planning, and building an integrated set of information and information technology architectures. The five layers are defined separately but are interrelated and interwoven. [2] The model defined the interrelation as follows: [3]
[21] [22] ARC also develops techniques to identify and test whether an AI model is potentially dangerous. [4] In April 2023, Christiano told The Economist that ARC was considering developing an industry standard for AI safety. [23] As of April 2024, Christiano was listed as the head of AI safety for the US AI Safety Institute at NIST. [24]
For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
NIST Hub5'00 Conversational speech over telephone. 260 hours of speech, from 543 speakers (302 male, 241 female) from across the United States, for around 2,400 two-sided telephone conversations, at ~3 million words. Collected by Texas Instruments in 1990-1991. audio, text transcript, word-level timestamps, phonetic transcriptions
The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.