Results 161 to 170 of about 35,242 (295)

Advancements, challenges, and prospects of explainable AI in sleep disordered breathing. [PDF]

Sleep Breath
Lisik D, Dinh T, Zou D.
europepmc   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Explainable AI for Meaningful Human Control

Preregistration of Explainable AI for Meaningful Human Control (XAI4MHC ...
Ruben Verhagen
core   +1 more source

Exploration and practice of human-machine trustworthy mechanism in XAI

大数据
Artificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application.
LUO Zhongyan, XIA Zhengxun, TANG Jianfei, YANG Yifan, YANG Hongshan, LI Haohua, ZHANG Yan   +6 more
doaj   +2 more sources

Robust transcriptomic signatures of Alzheimer's disease progression: validated explainable AI approach. [PDF]

Sci Rep
Shafik RA, Afify YM, Badr N, Mounir M.
europepmc   +1 more source

X‐Functionality–Driven Photocatalytic Hydrogen Evolution in 2D 4‐X‐PEA2SnI4 Perovskites

Advanced Functional Materials, EarlyView.
We report a water‐based synthesis of 2D 4‐X‐PEA2SnI4 perovskite microcrystals with prominent photocatalytic (PC) activity for H2 production. The synergy between organic functionalization and HI‐derived iodide scavenges holes suppress octahedral distortion, and favor electron accumulation, enabling a PC H2 evolution ∼20 µmol·g−1 and long‐term stability ...
Taeyeon Kim, Gayoung Seo, Seong Yeon Park, Juwon Jang, Yunho Ahn, Samiksha Mukesh Jain, Samrat Das Adhikari, Harumi Correa‐Leiva, Ignacio Utreras‐Asenjo, Oscar A. Douglas‐Gallardo, Carina Pareja‐Rivera, Kayoung Cho, Byeongsung Kim, Jhonatan Rodriguez‐Pereira, Eunseo Choi, JaeHong Park, Jin Ho Bang, Danilo H. Jara‐Quinteros, Sixto Giménez, Seog Joon Yoon, Andrés F. Gualdrón‐Reyes, Iván Mora‐Seró   +21 more
wiley   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

ENHANCING THE COMPREHENSIBILITY OF MEDICAL PREDICTION MODELS WITH KNOWLEDGE GRAPHS: A NEURO-SYMBOLIC EXPLAINABLE AI APPROACH

A challenge in using machine learning (ML) for decision support in critical domains such as healthcare is their lack of transparency in making predictions.
Rad, Jaber
core  

Interpretation drift in explainable AI under label noise. [PDF]

Sci Rep
Raikovskaia A, Rakhimzhanov N, Pianykh OS.   +2 more
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source