Results 21 to 30 of about 5,396,367 (373)

AI for AI: Using AI methods for classifying AI science documents

open access: yesQuantitative Science Studies, 2022
Abstract Subject area classification is an important first phase in the entire process involved in bibliometrics. In this paper, we explore the possibility of using automated algorithms for classifying scientific papers related to Artificial Intelligence at the document level.
Evi Sachini   +3 more
openaire   +2 more sources

From ”Explainable AI” to ”Graspable AI”

open access: yesProceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, 2021
Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user’s perception of control over the system, and system’s ...
Ghajargar, Maliheh   +7 more
openaire   +7 more sources

MEGA: Multilingual Evaluation of Generative AI [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
Generative AI models have shown impressive performance on many Natural Language Processing tasks such as language understanding, reasoning, and language generation. An important question being asked by the AI community today is about the capabilities and
Kabir Ahuja   +11 more
semanticscholar   +1 more source

Generative AI at Work [PDF]

open access: yesSocial Science Research Network, 2023
We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15% on average, with
Erik Brynjolfsson   +2 more
semanticscholar   +1 more source

Sensemaking Practices in the Everyday Work of AI/ML Software Engineering [PDF]

open access: yes, 2020
This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial ...
Book Matthias   +4 more
core   +1 more source

Construction of Exploration Data for Greenhouse Gas Geologic Storage: Focusing on Geological Cross-section Data [PDF]

open access: yesGeo Data, 2023
In this study, the most basic data, underground geological structure data, that is, geological cross-section data, were established to select a candidate site for underground storage of greenhouse gases based on AI. As a target area, the Gyeongsang Basin,
Bokyun Ko, Sungjae Park, Saro Lee
doaj   +1 more source

The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey [PDF]

open access: yesEAI Endorsed Transactions on Creative Technologies, 2021
AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting, and countering cyber threats to keep up information confidentiality.
Feng Tao, Muhammad Akhtar, Zhang Jiayuan
doaj   +1 more source

Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts

open access: yesInternational Conference on Human Factors in Computing Systems, 2023
Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn instruction-taking out-of-the-box, making them attractive materials for designing natural language interactions.
J.D. Zamfirescu-Pereira   +3 more
semanticscholar   +1 more source

Self-ordered nanoporous lattice formed by chlorine atoms on Au(111) [PDF]

open access: yes, 2016
A self-ordered nanoporous lattice formed by individual chlorine atoms on the Au(111) surface has been studied with low-temperature scanning tunneling microscopy, low-energy electron diffraction, and density functional theory calculations.
Andryushechkin, B. V.   +8 more
core   +1 more source

Teaching Artificial Intelligence (AI) with AI for AI applications

open access: yesThe International FLAIRS Conference Proceedings, 2023
The emergence of widely-used artificial intelligence (AI) has created a critical need for AI expertise, not just as a research area but for workers in the wide variety of careers and roles that AI disrupts.  While AI is still an area of research for new processing, application, and development – it continues to partially automate, augment, or replace ...
Keith Brawner, Ning Wang, Ben Nye
openaire   +2 more sources

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