Results 81 to 90 of about 9,872,649 (283)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

A Hybrid Bioprinting–Microfabrication Approach to Controllable Multitype Spheroid Arrays for Modeling Tumor Heterogeneity

Advanced Healthcare Materials, EarlyView.
This work introduces a “cancer‐in‐a‐well” technology that recreates tumor heterogeneity in vitro using multitype spheroid arrays. Combining bioprinting/microdispensing with microstructured culture devices, the system improves drug screening and modeling of tumor complexity.
Simone Bonetti, Eva Clemente, Emanuela Mensà, Marco de Maria, Fulvia Farabegoli, Emanuela Saracino, Barbara Bortolani, Emanuela Marcelli, Renato Brandimarti, Dario de Biase, Giampaolo Zuccheri   +10 more
wiley   +1 more source

AI and Human Reasoning: Qualitative Research in the Age of Large Language Models [PDF]

Context: The advent of AI-driven large language models (LLMs), such as ChatGPT 3.5 and GPT-4, have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats
Whittle, J, Bano, M, Zowghi, D
core   +1 more source

Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems

Scientific Reports
The rapid development of artificial intelligence (AI) and machine learning (ML) has revolutionized computer technology, enabling it to make intelligent decisions, exhibit adaptive behavior, and foster synergistic human-AI environments.
Jiaqi Wang
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Human Factors in Human-AI Interaction

In the intelligent age, human factors, as a discipline, can effectively help understand and predict the process of human-AI interaction and solve various problems that arise in human-AI interaction.
Sun, Xianghong, Zhang, Jingyu, Zhang, Liang   +2 more
core   +1 more source

The Collaboration Gap in Human-AI Work

Accepted as a conference paper at ECSCW 2026 ...
Vishwarupe, Varad, Jirotka, Marina, Shadbolt, Nigel, Flechais, Ivan   +3 more
openaire   +2 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency

Among the many scenarios where humans and AI agents can collaborate, Energy Efficiency (EE) is one where such collaboration could most effectively contribute to the goal of net zero emissions, while also reducing costs and improving comfort.
Pinciroli Vago, Nicolò Oreste, Fraternali, Piero, Campi, Riccardo, Giudici, Mathyas, Brambilla, Marco   +4 more
core   +1 more source

EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0

Applied Computer Science
 The function of Artificial Intelligence (AI) in Human-Robot Cooperation (HRC) in Industry 4.0 is unequivocally important and cannot be undervalued. It uses Machine Learning (ML) and Deep Learning (DL) to enhance collaboration between humans and robots ...
Hawkar ASAAD, Shavan ASKAR, Ahmed KAKAMIN, Nayla FAIQ   +3 more
doaj   +1 more source