IEEE Standard for Operator Interfaces of Artificial Intelligence: IEEE Standard 2941.1-2022

Data Compression Standard Committee; Joanna Isabelle Olszewska

doi:10.1109/IEEESTD.2023.10078793

IEEE Standard for Operator Interfaces of Artificial Intelligence: IEEE Standard 2941.1-2022

Data Compression Standard Committee, Joanna Isabelle Olszewska^*

^*Corresponding author for this work

School of Computing, Engineering and Physical Sciences

Research output: Book/Report › Commissioned report › peer-review

Abstract

A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.

Original language	English
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	326
ISBN (Electronic)	9781504495332
DOIs	https://doi.org/10.1109/IEEESTD.2023.10078793
Publication status	Published - 24 Mar 2023

Keywords

artificial intelligence
AI
basic mathematics
IEEE 2941.1
neural network
machine learning
operators

Access to Document

10.1109/IEEESTD.2023.10078793

Cite this

@book{bbe8ae0210ed4617ba6621155df8bac7,

title = "IEEE Standard for Operator Interfaces of Artificial Intelligence: IEEE Standard 2941.1-2022",

abstract = "A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.",

keywords = "artificial intelligence, AI, basic mathematics, IEEE 2941.1, neural network, machine learning, operators",

author = "{Data Compression Standard Committee} and Olszewska, {Joanna Isabelle}",

year = "2023",

month = mar,

day = "24",

doi = "10.1109/IEEESTD.2023.10078793",

language = "English",

publisher = "IEEE",

address = "United States",

}

TY - BOOK

T1 - IEEE Standard for Operator Interfaces of Artificial Intelligence

T2 - IEEE Standard 2941.1-2022

AU - Data Compression Standard Committee

AU - Olszewska, Joanna Isabelle

PY - 2023/3/24

Y1 - 2023/3/24

N2 - A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.

AB - A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.

KW - artificial intelligence

KW - AI

KW - basic mathematics

KW - IEEE 2941.1

KW - neural network

KW - machine learning

KW - operators

U2 - 10.1109/IEEESTD.2023.10078793

DO - 10.1109/IEEESTD.2023.10078793

M3 - Commissioned report

BT - IEEE Standard for Operator Interfaces of Artificial Intelligence

PB - IEEE

CY - Piscataway, NJ

ER -

IEEE Standard for Operator Interfaces of Artificial Intelligence: IEEE Standard 2941.1-2022

Abstract

Keywords

Access to Document

Fingerprint

Cite this