Results 121 to 130 of about 2,729 (294)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Analyzing Various Structural and Temperature Characteristics of Floating Gate Field Effect Transistors Applicable to Fine-Grain Logic-in-Memory Devices

Micromachines
Although the von Neumann architecture-based computing system has been used for a long time, its limitations in data processing, energy consumption, etc.
Sangki Cho, Sueyeon Kim, Myounggon Kang, Seungjae Baik, Jongwook Jeon   +4 more
doaj   +1 more source

Carry-Free Adder in Redundant Number System: the First and Only Demonstration of Ternary Logic’s Superiority Over Binary Logic

Abstract Ternary logic has attracted significant attention due to its higher data density and balanced number representation. Even though tremendous endeavor has been devoted to developing ternary logic arithmetic circuits with compact structures, its industrial applications have stagnated for years due to the inferior energy efficiency ...
Mingqiang Huang, Guangchao Zhao, Wanbo Hu, Xingli Wang, Zepeng Yang, Ziye Li, Philippe Coquet, Kai Han, Hailin Hu, Yunhe Wang, BengKang Tay   +10 more
openaire   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Zero-suppressed ternary decision diagram algorithm for solving noncoherent fault trees in probabilistic safety assessment of nuclear power plants

Nuclear Engineering and Technology
Probabilistic safety assessment (PSA) plays a critical role in ensuring the safe operation of nuclear power plants. In PSA, event trees are developed to identify accident sequences that could lead to core damage.
Woo Sik Jung
doaj   +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

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Formation of Cluster‐Structured Metallic Filaments in Organic Memristors for Wearable Neuromorphic Systems with Bio‐Mimetic Synaptic Weight Distributions

Advanced Science
With increasing demand for wearable electronics capable of computing huge data, flexible neuromorphic systems mimicking brain functions have been receiving much attention.
Uihoon Jung, Miseong Kim, Jaewon Jang, Jin‐Hyuk Bae, In Man Kang, Sin‐Hyung Lee   +5 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Essential, Yet Precarious, Mistreated, Sick and Medicalized: A Sequential Explanatory Mixed‐Methods Study on Homecare Aides in Spain

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Homecare aides (HCAs) are professional non‐family caregivers, who support dependent individuals to live at home with dignity; yet in Spain they remain understudied and vulnerable, often facing precarious working conditions. We aimed to characterize HCAs’ employment, living conditions, health, and exposure to workplace violence and ...
Albert Navarro‐Giné, Pedro Ferrer‐Rosende, Maria Feijoo‐Cid, Sergio Salas‐Nicás, Laura Esteve‐Matalí, Valeria Stuardo‐Ávila, María Isabel Fernández‐Cano   +6 more
wiley   +1 more source