Results 121 to 130 of about 1,387,364 (343)
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Te Whāriki Kiokio - Te Ruru light festival 2019 [PDF]
This interactive installation consists of 3 digital tukutuku panels which are rear-projected onto a screen. The viewer is presented with 3 foot pates, each with a unique tukutuku symbol.
McConnell, Luke, Tangaere, Stacey
core
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Time as a strand of the dance medium
Time and space are at the core of our aesthetic experiences of dance performances, yet dance has been frequently categorised as a space-based art. In this paper I revise the choreological perspective developed by Preston-Dunlop and Sánchez-Colberg that ...
Álvarez, Inma
core
Thomas Gardner, Salomé Voegelin (eds.), Colloquium: Sound Art – Music. Winchester: Zero Books, 2016. ISBN: 978178279 895 8 [PDF]
Jøran Rudi
openalex +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Response to Orlova et al. “Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets” [PDF]
Yvan Saeys +2 more
openalex +1 more source

