Results 271 to 280 of about 220,741 (318)

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding

Advanced Intelligent Systems, EarlyView.
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong   +4 more
wiley   +1 more source

Adherence of Studies on Large Language Models for Medical Applications Published in Leading Medical Journals According to the MI-CLEAR-LLM Checklist. [PDF]

Korean J Radiol
Ko JS, Heo H, Suh CH, Yi J, Shim WH.
europepmc   +1 more source

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

Advanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou, Qi Liu, Huifang Ma, Yilong Qu, Zhicheng Ji   +4 more
wiley   +1 more source

Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study.

J Med Internet Res
Berman E, Sundberg Malek H, Bitzer M, Malek N, Eickhoff C.   +4 more
europepmc   +1 more source

From biomedical knowledge graph construction to semantic querying: a comprehensive approach. [PDF]

Sci Rep
Wang L, Hao H, Yan X, Zhou TH, Ryu KH.
europepmc   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

The efficacy of the corpus-based error correction method on revision in writing classrooms. [PDF]

PLoS One
Yang Y, Ren H.
europepmc   +1 more source

Reprogrammable, In‐Materia Matrix‐Vector Multiplication with Floppy Modes

Advanced Intelligent Systems, EarlyView.
This article describes a metamaterial that mechanically computes matrix‐vector multiplications, one of the fundamental operations in artificial intelligence models. The matrix multiplication is encoded in floppy modes, near‐zero force deformations of soft matter systems.
Theophile Louvet, Parisa Omidvar, Marc Serra‐Garcia   +2 more
wiley   +1 more source

An active inference strategy for prompting reliable responses from large language models in medical practice. [PDF]

NPJ Digit Med
Shusterman R, Waters AC, O'Neill S, Bangs M, Luu P, Tucker DM.   +5 more
europepmc   +1 more source

Visual digital intermediaries and global climate communication: Is climate change still a distant problem on YouTube? [PDF]

PLoS One
Segerberg A, Magnani M.
europepmc   +1 more source