Results 101 to 110 of about 81,239,174 (287)

Roadmaps and Agendas for Research and Innovation in Artificial Intelligence, Data, and Robotics

547579Artificial intelligence (AI), data, and robotics are transformative technologies that drive innovation across industries and address critical societal challenges.
O’Brien, Philip, Figueiras, Paulo Alves, Bibikas, Dimitris, Lambri, Charalambos, Mossali, Elena, Bountouni, Nefeli, Hellbach, Robert, Koussouris, Sotirios, In Cugurra, Marina Da Bormida, Ioannou, Giorgos, Agostinho, Carlos, Reji, Sangeetha, Jardim-Gonçalves, Ricardo L.R., Neviani, Martina Imarisio   +13 more
core   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

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

Cellularized Skin Substitute Bioengineering for Regenerative Medicine: Cell Sources, Culture Strategies, and Transition Toward Defined, Xeno‐Free Culture Systems

Advanced Healthcare Materials, EarlyView.
Advances in cell sources, bioengineering, and manufacturing are reshaping the design of skin substitutes. This review highlights emerging strategies driving skin tissue engineering and discusses their potential to enable safer, reproducible, and clinically accessible skin substitutes for regenerative medicine.
Gilles Lemaître, Marina Trouillas, Tatiana Vinasco‐Sandoval, Cécile Giordano, Alexandre G. Lellouch, Walid Rachidi, Jean‐Jacques Lataillade, Nicolas O. Fortunel   +7 more
wiley   +1 more source

Artificial Intelligence Approaches to Medical Diagnosis [PDF]

, 1974
Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of ...
Rubin, Andee
core  

Magnetically Driven Biofabrication for Tissue Engineering: From Nanoparticle Design to Mag‐ATMP Translation

Advanced Healthcare Materials, EarlyView.
Magnetically responsive nanoparticles enable remote control over biomaterials, cells, and engineered tissues. This review summarizes material design, biological safety, fabrication and actuation strategies, computational validation, and translational pathways that support the development of magnetic tissue‐engineering platforms and future magnetically ...
Konstantinos Ioannidis, Dimitrios Lefas, Maya Guilliams, Jackie Van Grootenbril, Isaak Decoene, Dimitrios Sakellariou, Bart Smeets, Stefanos Mourdikoudis, Ioannis Papantoniou   +8 more
wiley   +1 more source

Fine Grained Robotics [PDF]

, 1991
Fine grained robotics is the idea of solving problems utilizing multitudes of very simple machines in place of one large complex entity. Organized in the proper way, simple machines and simple behaviors can lead to emergent solutions.
Flynn, Anita M., Anita M. Flynn, Barrett, David S., David S. Barrett   +3 more
core  

Empowering Women's Health: A Global Perspective on Artificial Intelligence and Robotics. [PDF]

Cureus, 2023
Afaq M, Abraham DE, Patel SH, Al-Dhoon AD, Arshad Z.   +4 more
europepmc   +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