Wearable Electrohydraulic Actuation For Salient Full‐Fingertip Haptic Feedback
This study introduces a wearable soft robotic system that combines a flat and conformable electrohydraulic pump, a mechanically transparent channel, and an ultra‐thin fingertip chamber to provide salient haptic feedback that imitates natural touch experiences.
Yitian Shao+4 more
wiley +1 more source
Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis. [PDF]
Gao J, Fang N, Xu Y.
europepmc +1 more source
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung+5 more
wiley +1 more source
Artificial intelligence-assisted multimodal imaging for the clinical applications of breast cancer: a bibliometric analysis. [PDF]
Hou C+5 more
europepmc +1 more source
A novel self‐powered wearable pressure sensor is fabricated using chitosan‐ZnO composite piezoelectric film, achieving sensitivities of 70.71 mV/kPa and 471.43 mV Hz−1. This lightweight and biodegradable device emulates mechanoreceptors for applications such as object classification, wireless data transmission, and gesture recognition, offering an eco ...
Zhao Wang+5 more
wiley +1 more source
AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.
Bazzano AN+4 more
europepmc +1 more source
Germany and Europe lead digital innovation and AI with collaborative health data use at continental level. [PDF]
Baumgart DC, Kvedar JC.
europepmc +1 more source
UNVEILING THE FRONTIERS: EXPLORING EMERGING FIELDS IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE
Abhinav Agarwal
openalex +1 more source
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng+2 more
wiley +1 more source