Results 51 to 60 of about 1,296,780 (259)

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

IEEE 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, Silas Formunyuy Verkijika, Kelibone Eva Mamabolo   +2 more
doaj   +1 more source

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

Cognitive 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, Rohin Shahi, Martin Harry Turpin, Anya Ragnhildstveit, Shawn Sprockett, Nathaniel Barr, Alexander Christensen, Paul Seli   +7 more
doaj   +1 more source

Who made the paintings: Artists or artificial intelligence? The effects of identity on liking and purchase intention

Frontiers in Psychology, 2022
Investigating how people respond to and view AI-created artworks is becoming increasingly crucial as the technology’s current application spreads due to its affordability and accessibility.
Li Gu, Yong Li
doaj   +1 more source

Curriculum 2000: implementation [PDF]

, 2003
This report offers a summary of findings of Ofsted’s survey work on the first two years of Curriculum 2000. The judgements are based on visits by eight of Her Majesty’s Inspectors (HMI) and 16 additional inspectors (AI) during 2000–2001, and by 13 HMI ...

core  

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

, 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, Nguyen, Dat Quoc, Pham, Dang Duc, Pham, Son Bao   +3 more
core   +1 more source

AI and Art

, 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

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

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

Buildings
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, Zhengwei Xia, Ruidi Wang, Chenpeng Xu, Wenqi Miao, Shengyang Xing   +5 more
doaj   +1 more source

Multimodal Structural Color Graphics Based on Colloidal Photonic Microdome Arrays

Advanced Functional Materials, EarlyView.
A hybrid photonic system combining colloidal crystals and microscale domes is designed to achieve four switchable optical states via the interplay of Bragg reflection and TIR interference. The graphics composed of the photonic microdome arrays provide tunable, angle‐sensitive structural coloration and concealed‐to‐revealed transitions, offering a ...
Jun‐Gu Kang, Hwan‐Young Lee, Chaerim Son, Hyeonbin Jo, Shin‐Hyun Kim   +4 more
wiley   +1 more source

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

Sustainable 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