Results 111 to 120 of about 3,279 (252)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Editorial: Prompts: the double-edged sword using AI. [PDF]

Front Artif Intell
Vallverdú J, Rzepka R, Sans Pinillos A.
europepmc   +1 more source

Creative expression

, 2023
openaire   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Retracted: Creativity of Nanofiber Materials and Application in the Expressive Power of Manual Tie-Dyeing Process

Advances in Materials Science and Engineering, 2023
Advances in Materials Science and Engineering
doaj   +1 more source

Neuroscience-Informed Creative Group Therapy for Processing Trauma and Developing Resilience During Wartime. [PDF]

J Pers Med
Vaisvaser S, Shalem-Zafari Y, Ram-Vlasov N, Shamri-Zeevi L.   +3 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Learner-centered versus teacher-centered dance pedagogy and dance learning and related outcomes: a systematic review. [PDF]

Front Psychol
Silang R, Zhou W, Gao X.
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Creativity and REsilience Through Arts, Technology and Emotions: A Pilot Study on the Feasibility and Validity of the CREATE Platform. [PDF]

Brain Sci
Ladas AI, Katsoridou C, Gravalas T, Klados MA, Stravoravdi AS, Tsompanidou N, Fragkedaki A, Bista E, Chorafa T, Petrovic K, Vlotinou P, Tsiakiri A, Papazisis G, Frantzidis CA.   +13 more
europepmc   +1 more source