Results 131 to 140 of about 10,320,823 (245)

The Impact of Concept Explanations and Interventions on Human-Machine Collaboration

Abstract Deep Neural Networks (DNNs) are often considered black boxes due to their opaque decision-making processes. To reduce their opacity Concept Models (CMs), such as Concept Bottleneck Models (CBMs), were introduced to predict human-defined concepts as an intermediate step before predicting task labels. This enhances the interpretability
Jack Furby, Daniel Cunnington, Dave Braines, Alun D. Preece   +3 more
openaire   +3 more sources

A Cryopreservation‐Based Supply Chain Strategy for Extrusion Bioprinting in Space

Advanced Materials Technologies, EarlyView.
Extrusion bioprinting on crewed space platforms requires a bioink that stays functional along the logistic chain. Here, cells and biomaterial ink travel separately, the cells cryopreserved and the ink cold stored, and are combined only minutes before printing.
Johannes Windisch, Max von Witzleben, Richard Frank Richter, Finn Dani, Constantin Greil, Sarah Duin, Anja Lode, Michael Gelinsky   +7 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Bridging the Information Gap in Smart Construction: An LLM-Based Assistant for Autonomous TBM Tunneling

Smart Cities
The development of autonomous tunneling is crucial for building the intelligent underground infrastructure that smart cities require. However, in complex urban environments, the need for frequent manual intervention during Tunnel Boring Machine (TBM ...
Min Hu, Hongzheng Gao, Qing Mi, Bingjian Wu, Jing Lu, Yongchang Liu   +5 more
doaj   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions

Advanced Optical Materials, EarlyView.
This work presents high‐performance visible‐blind NIR OPDs enabled by a multilayer optical modulation layer. The devices achieve strong visible‐light suppression and enhanced NIR sensitivity, enabling robust imaging in foggy or low‐light environments.
Baozhong Deng, Kean Lu, Zhouyi Lu, Yi Li, Gaoyu Dai, Luqiao Yin, Zihan Wang, Bruno Grandidier, Tao Xu, Furong Zhu   +9 more
wiley   +1 more source

Human-Machine Collaboration and Emotional Intelligence in Industry 5.0

The fifth industrial revolution offers personalized job-seeking experiences, focusing on societal well-being beyond just job creation and growth. Industry 5.0 prioritizes sustainable production and worker safety, shifting from tech-centric approaches of ...
Sivaranjani, S, Abdul Jamil, Muhammad Mahadi, Thanikachalam, Yamunarani, Abd Wahab, Mohd Helmy, Vajravelu, Ashok   +4 more
core  

Mediatization and Human-Machine Communication : Trajectories, Discussions, Perspectives

As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and ...
Hepp, A.,, Bolin, Göran,, Loosen, W.,, Guzman, A. L.,   +3 more
core   +1 more source

Capturing Uncertainty in Ensemble Models For Human-Machine Collaboration

, 2023
© 2023 Mansoureh MaadiThis thesis studies capturing uncertainty in ensemble models, starting with machine only models and then leading to human-machine collaboration from new perspectives.
Maadi, Mansoureh
core  

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

Advanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source