Results 41 to 50 of about 1,299,323 (179)

Evaluating Compositionality in Sentence Embeddings [PDF]

open access: yes, 2018
An important challenge for human-like AI is compositional semantics. Recent research has attempted to address this by using deep neural networks to learn vector space embeddings of sentences, which then serve as input to other tasks.
Dasgupta, Ishita   +4 more
core   +1 more source

A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging

open access: yes, 2015
In this paper, we propose a new approach to construct a system of transformation rules for the Part-of-Speech (POS) tagging task. Our approach is based on an incremental knowledge acquisition method where rules are stored in an exception structure and ...
Nguyen, Dai Quoc   +3 more
core   +1 more source

On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art

open access: yesFrontiers in Robotics and AI, 2021
The moral standing of robots and artificial intelligence (AI) systems has become a widely debated topic by normative research. This discussion, however, has primarily focused on those systems developed for social functions, e.g., social robots. Given the
Gabriel Lima    +6 more
doaj   +1 more source

AI and Art

open access: yes, 2023
Recent advances in the computer generation of pictures using methods and programs from artificial intelligence research, or, more precisely, machine learning, have once again raised the question of whether computers can make art. Based on Michael Noll's early experiments with computer art from the 1960s, I argue by contrast that even the latest tools ...
openaire   +1 more source

Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN)

open access: yesIEEE Access
As AI technology evolves, seeing is not believing. The boundary between human and machine creativity is increasingly blurred, presenting challenges for the art industry.
Ngonidzashe Tinago   +2 more
doaj   +1 more source

Humans versus AI: whether and why we prefer human-created compared to AI-created artwork

open access: yesCognitive Research, 2023
With the recent proliferation of advanced artificial intelligence (AI) models capable of mimicking human artworks, AI creations might soon replace products of human creativity, although skeptics argue that this outcome is unlikely.
Lucas Bellaiche   +7 more
doaj   +1 more source

NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature [PDF]

open access: yes, 2018
Objective: To determine the completeness of argumentative steps necessary to conclude effectiveness of an algorithm in a sample of current ML/AI supervised learning literature.
Király, Franz J   +2 more
core   +1 more source

Research on Pedestrian Dynamics and Its Environmental Factors in a Jiangnan Water Town Integrating Video-Based Trajectory Data and Machine Learning

open access: yesBuildings
Jiangnan water towns, as distinctive cultural landscapes in China, are confronting the dual challenge of surging tourist flows and imbalances in spatial distribution.
Hongshi Cao   +5 more
doaj   +1 more source

Cross-cultural attitudes toward generative AI in Art: Implications for sustainable creativity in the U.S., Japan, and China

open access: yesSustainable Futures
This study investigates the perceptions and attitudes toward generative AI art across three major global economies: the United States, Japan, and China.
Suomiya Bao
doaj   +1 more source

AI-driven digital image art creation: methods and case analysis

open access: yes智能科学与技术学报, 2023
In recent years, the rapid advancement of artificial intelligence technology has introduced novel tools for the realm of digital image creation.The use of AI tools for digital image creation has gradually become a common practice.In this context, this ...
Changsheng WANG
doaj  

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