Results 101 to 110 of about 851,299 (271)

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Arabic Text Formality Modification: A Review and Future Research Directions

IEEE Access
Formality transfer seeks to adjust text formality without altering its core meaning, which carries substantial implications across diverse domains like machine translation, dialogue systems, and social media content creation.
Shadi I. Abudalfa, Fahad J. Abdu, Maad M. Alowaifeer   +2 more
doaj   +1 more source

AI at Ames: Artificial Intelligence research and application at NASA Ames Research Center, Moffett Field, California, February 1985 [PDF]

Charts are given that illustrate function versus domain for artificial intelligence (AI) applications and interests and research area versus project number for AI research.
Andrews, Alison E.
core   +1 more source

Binder Engineering Suppresses Jahn–Teller‐Driven Mn Dissolution and Enables High‐Loading MnO2 Cathodes for Aqueous Zn‐Ion Batteries

Advanced Functional Materials, EarlyView.
A Zn2+‐coordinated poly(vinylidene fluoride) binder is shown to suppress Jahn–Teller‐driven Mn dissolution while improving dispersion, wettability, and structural integrity in thick MnO2 cathodes. This simple binder‐engineering strategy enables high‐loading aqueous Zn‐ion batteries with enhanced areal capacity, cycling stability, and practical promise ...
Insung Jang, Geun Yoo, Geon−Hyoung An
wiley   +1 more source

A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and Diagnosis

Bioengineering
Classifying and segmenting skin cancer represent pivotal objectives for automated diagnostic systems that utilize dermoscopy images. However, these tasks present significant challenges due to the diverse shape variations of skin lesions and the ...
Mohammed A. Al-masni, Abobakr Khalil Al-Shamiri, Dildar Hussain, Yeong Hyeon Gu   +3 more
doaj   +1 more source

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

Advanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

Foggy Drone Teacher: Domain Adaptive Drone Detection Under Foggy Conditions

Drones
With the growing use of drones, efficient detection algorithms are crucial, especially under adverse weather conditions. Most existing drone detection algorithms perform well only in clear weather, resulting in significant performance drops in foggy ...
Guida Zheng, Benying Tan, Jingxin Wu, Xiao Qin, Yujie Li, Shuxue Ding   +5 more
doaj   +1 more source

Backbone‐Controlled Ion‐Side Chain Accessibility in Conjugated Polymers for Organic Electrochemical Synaptic Transistors

Advanced Functional Materials, EarlyView.
Backbone modulation in glycolated conjugated polymers governs ion accessibility to side chains, strengthes anion adsorption, and suppresses back‐diffusion. As the number of thiophene units increases, structural reorganization, retention, and synaptic plasticity are enhanced, leading to improved neuromorphic performance in electrolyte‐gated organic ...
Junho Sung, Sein Chung, Byeongjun Jeon, Donghwa Lee, Myungjin An, Jiyeong Shin, Yoohyeon Jang, Donghoo Won, Changduk Yang, Bumjoon Seo, Eunho Lee   +10 more
wiley   +1 more source

Advancing Sequential Manga Colorization for AR Through Data Synthesis

IEEE Access
Manga colorization in augmented reality (AR) environments presents unique challenges, particularly when colorizing manga pages captured in photos under various real-world conditions.
Maksim Golyadkin, Sergey Saraev, Ilya Makarov   +2 more
doaj   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source