Results 51 to 60 of about 63,655 (291)

Suggested workflow: Using Shapi in a human-AI collaboration for early shape exploration.

open access: yes, 2022
Suggested workflow: Using Shapi in a human-AI collaboration for early shape exploration.
Andrés Arias-Rosales (7005983)
core   +1 more source

“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

open access: yesAustralasian Journal of Information Systems
AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared ...
Alexander Richter, Gerhard Schwabe
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

FACTORS THAT INFLUENCE THE ADOPTION OF HUMAN-AI COLLABORATION IN CLINICAL DECISION-MAKING

open access: yes, 2022
Recent developments in Artificial Intelligence (AI) have fueled the emergence of human-AI collaboration, a setting where AI is a coequal partner. Especially in clinical decision-making, it has the potential to improve treatment quality by assisting ...
Kuehl, Niklas   +6 more
core   +2 more sources

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Enhancing Human-AI Collaboration through Adaptive Interaction and Explainability

open access: yes
AI is rapidly evolving, and human-AI collaboration is becoming more prevalent. Developing robust, adaptive, and transparent models is key to improving human-AI collaboration.
Li, Zhaobin
core   +1 more source

PERCEPTION, AND RESONANCE: RESEARCH ON GENERATIVE AI IN DIGITAL PICTURE BOOK DESIGN

open access: yesтеорія та практика дизайну
. The purpose. This research aims to the operation and role of generative AI in human-AI co-creation, with digital picture book design as the creative object.
Yan Li, Nataliia Vladyslavivna Chuprina
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review

open access: yesAdvanced Healthcare Materials, EarlyView.
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami   +4 more
wiley   +1 more source

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