Results 121 to 130 of about 10,320,823 (245)

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine ...
Subasi, Abdulhamit, Nisar, Humaira, Mian Qaisar, Saeed   +2 more
core  

Intelligent decision-making and learning method for readjusting behavior of hydraulic supports advancing in longwall mining

Meitan kexue jishu
The normal and continuous operation of coal cutting cycles is determined by the advancing and alignment of hundreds of hydraulic supports on fully-mechanized coal mining faces, which serves as a critical factor.
Xiang FU, Haojie LI, Ming YAN, Yansong LI, Zhixing ZHANG, Ranfeng WANG, Keke XING, Zhitao MA, Yifan QIN, Yifan JIA, Yan SUN   +10 more
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Comparing rule-based and data-driven approaches to Spanish-to-Basque machine translation [PDF]

, 2007
In this paper, we compare the rule-based and data-driven approaches in the context of Spanish-to-Basque Machine Translation. The rule-based system we consider has been developed specifically for Spanish-to-Basque machine translation, and is tuned to ...
Stroppa, Nicolas, Way, Andy, Labaka, Gorka, Sarasola, Kepa   +3 more
core   +2 more sources

SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patients: feature selection and model interpretation

Scientific Reports
Heart failure (HF) is a significant global public health concern with a high readmission rate, posing a serious threat to the health of the elderly population.
Hao Luo, Congyu Xiang, Lang Zeng, Shikang Li, Xue Mei, Lijuan Xiong, Yanxu Liu, Cong Wen, Yangyang Cui, Linqin Du, Yang Zhou, Kun Wang, Lan Li, Zonglian Liu, Qi Wu, Jun Pu, Rongchuan Yue   +16 more
doaj   +1 more source

Analysis of the Advantages and Disadvantages of the Clinical Applications of Medical Artificial Intelligence

Yixue yu zhexue
The rapid advancement of medical artificial intelligence has brought significant changes to clinical diagnosis and treatment, gradually penetrating all areas of the medical system.
Detao YIN, Ziyi CAO
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites

Advanced Materials Technologies, EarlyView.
Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang, Peter Zalar, Vishva Bhate, Takeo Furukawa, Hidekazu Kodama, Yijun Liu, Yuanyuan Zhou, Chuang Hou, Siyuan Liu, Naoji Matsuhisa   +9 more
wiley   +1 more source

Machine learning for human-machine collaboration

Contemporary AI-based interactive assistants commonly apply fixed response strategies regardless of task type, user expertise, or contextual demands.
Jiang, Tingting
core