Results 101 to 110 of about 10,393,605 (252)

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

Human-Machine Collaboration for Accelerated Discovery of Promising Oxygen Evolution Electrocatalysts with On-Demand Elements. [PDF]

ACS Cent Sci, 2023
Sakaushi K, Hoisang W, Tamura R.
europepmc   +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

Human-machine collaboration for improving semiconductor process development. [PDF]

Nature, 2023
Kanarik KJ, Osowiecki WT, Lu YJ, Talukder D, Roschewsky N, Park SN, Kamon M, Fried DM, Gottscho RA.   +8 more
europepmc   +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

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  

Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions. [PDF]

Front Digit Health, 2023
Popat R, Ive J.
europepmc   +1 more source

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

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