Results 71 to 80 of about 1,296,780 (259)

Art Notions in the Age of (Mis)anthropic AI

open access: yesArts
In this paper, I take the cultural effects of generative artificial intelligence (generative AI) as a context for examining a broader perspective of AI’s impact on contemporary art notions.
Dejan Grba
doaj   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou   +7 more
wiley   +1 more source

Insights From Art Therapists on Using AI-Generated Art in Art Therapy: Mixed Methods Study

open access: yesJMIR Formative Research
BackgroundWith the increasing integration of artificial intelligence (AI) into various aspects of daily life, there is a growing interest among designers and practitioners in incorporating AI into their fields. In health care domains like art therapy, AI
Fereshtehossadat Shojaei   +3 more
doaj   +1 more source

Can Machines Be Artists? A Deweyan Response in Theory and Practice

open access: yesArts, 2019
To speak comfortably of the machine artist (as outlined in the call for papers for this Special Issue) makes key assumptions about what it is to be an artist.
Arthur Still, Mark d’Inverno
doaj   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Artificial intelligence and assisted reproductive technology: A comprehensive systematic review

open access: yesTaiwanese Journal of Obstetrics & Gynecology
The objective of this review is to evaluate the contributions of Artificial Intelligence (AI) to Assisted Reproductive Technologies (ART), focusing on its role in enhancing the processes and outcomes of fertility treatments.
Yen-Chen Wu   +5 more
doaj   +1 more source

Assistive robotics: research challenges and ethics education initiatives [PDF]

open access: yes, 2019
Assistive robotics is a fast growing field aimed at helping healthcarers in hospitals, rehabilitation centers and nursery homes, as well as empowering people with reduced mobility at home, so that they can autonomously fulfill their daily living ...
Torras, Carme
core   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

open access: yesAdvanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann   +8 more
wiley   +1 more source

Rolling and Impacting Caustic Drops on Super Liquid‐Repellent Surfaces: In Situ Force and Energy Monitoring of Surface Degradation

open access: yesAdvanced Functional Materials, EarlyView.
The use of continuous drop‐based force and energy probing methods is introduced to evaluate in situ chemical degradation of super liquid‐repellent surfaces by caustic liquids. By tracking the velocity of rolling drops and energy dissipation of impacting drops, degradation dynamics are resolved under high spatio‐temporal precision. Using this technique,
Parham Koochak   +2 more
wiley   +1 more source

Art and Language After AI

open access: yesTechnophany
By ingesting a vast corpus of source material, generative deep learning models are capable of encoding multi-modal data into a shared embedding space, producing synthetic outputs which cannot be decomposed into their constituent parts.
Anil Bawa-Cavia
doaj   +1 more source

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