Results 111 to 120 of about 78,546 (297)

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Hybrid Intelligence: Design for Sustainable Multiverse via Integrative Cognitive Creation Model through Human–Computer Collaboration

The unprecedented development of artificial intelligence (AI) makes it possible for computers to imitate and surpass human intelligence (HI). Hybrid intelligence is the result of the co-evolution of AI and HI and has huge application potential in ...
Yuqi Liu, Zhiyong Fu
core   +1 more source

Responsible Autonomy for Hybrid Intelligence

International Joint Conference on Autonomous Agents and Multiagent Systems
In hybrid intelligence (HI) systems, artificial intelligence (AI) agents and humans work together to solve complex tasks. In these interactions, each agent is expected to work autonomously and be responsible for their actions. By capturing consent as a regulation of actions in a normative environment (such as a HI system), an agent can determine an ...
openaire   +2 more sources

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

From Human Teams to Hybrid Intelligence Teams: Identifying, Characterizing, and Evaluating Foundational Quality Attributes - Supplementary Material

This repository contains the supplementary material for the paper "From Human Teams to Hybrid Intelligence Teams: Identifying, Characterizing, and Evaluating Foundational Quality Attributes".
Murukannaiah, Pradeep, Leiden University, Artificial Intelligence, Delft University of Technology, Jonker, Catholijn, Dudzik, Bernd, KTH Royal Institute of Technology, Yurrita, Mireia, Grossi, Davide; id_orcid, Utrecht University, Yolum, Pinar, University of Amsterdam, Oertel, Catharine, Dell'Anna, Davide   +13 more
core   +1 more source

Pursuit of hidden rules behind the irregularity of nano capillary lithography by hybrid intelligence. [PDF]

Sci Rep, 2023
Cho IH, Ji MG, Kim J.
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

HealthHub: A Hybrid Intelligence Meta App for Personalized, Sustainable Food Choices with Adaptive Nudging

Consumers today navigate fragmented food services (such as recipes, grocery shopping, and delivery) without unified, health/sustainability-aware guidance.
Mollazadeh, Amir, Oussalah, Mourad, Rostami, Mehrdad   +2 more
core   +1 more source

Real‐world image deblurring using data synthesis and feature complementary network

IET Image Processing
Many learning‐based approaches to image deblurring have received increasing attention in recent years. However, the models trained on existing synthetic datasets do not generalize well to real‐world blur, resulting in undesirable artifacts and residual ...
Hao Wei, Chenyang Ge, Xin Qiao, Pengchao Deng   +3 more
doaj   +1 more source

Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain. [PDF]

Sci Eng Ethics, 2023
Milford SR, Shaw D, Starke G.
europepmc   +1 more source