Results 141 to 150 of about 118,176,058 (235)

World Models for Robotic Manipulation: A Survey

SmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang, Ziyuan Wang, Guorui Pei, Mengshi Zhang, Canxi Liang, Jun Hu, Zhongxuan Li, Jinsong Wu, Ning Han, Zeqing Zhang, Jiaming Qi, Hongmin Wu, Shiyao Zhang, Pai Zheng, Jia Pan, David Navarro‐Alarcon, Sichao Liu, Peng Zhou   +17 more
wiley   +1 more source

Why care resists coding: the moral limits of medical AI. [PDF]

BMC Med Ethics
Wagner NF.
europepmc   +1 more source

Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation

Strategic Management Journal, EarlyView.
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi, Daniella Laureiro‐Martinez, Federico Magni, Stefano Brusoni   +3 more
wiley   +1 more source

The Use of Industry 4.0 and 5.0 Technologies in the Transformation of Food Services: An Integrative Review. [PDF]

Foods
Cantarelli da Silva R, Bacharini Lima L, Batistela Dos Santos E, Akutsu RC.   +3 more
europepmc   +1 more source

Dual‐Functionality, Bio‐Friendly Artificial Muscles for Actuation and Motion Sensing in Smart Wearable Systems

Small, EarlyView.
This work presents a biofriendly carbon nanotube yarn artificial muscle operating either as an in‐air unipolar actuator or as a self‐powered ionotronic strain sensor. Using a non‐volatile eutectogel‐derived electrolyte, the system achieves up to 2.9% contraction and 0.5 mV/% strain sensing sensitivity.
Gabriela Ananieva, Cédric Vancaeyzeele, Giao T. M. Nguyen, Frédéric Vidal, Thuan Nguyen Pham Truong, Nils‐Krister Persson, Li Guo, Tommie Varekamp, Felix Dransfeld, Jasper Sikken, Bram Bicknese, Cédric Plesse   +11 more
wiley   +1 more source

Integrating AI in seed science: Toward an intelligent design paradigm. [PDF]

Plant Commun
Zhang Y, Du J, Huang G, Zhao Y, Man P, Song A, Zhao Y, Men Q, Wang C, Guo M, Guo X, Zhao C.   +11 more
europepmc   +1 more source

Smart molecular design of NIR‐II organic fluorophores through self‐driven iterative evolution, deep learning, and fragment‐based assembly

Smart Molecules, EarlyView.
A smart design strategy for NIR‐II organic fluorophores is proposed by combining self‐driven Iterative evolution, deep Learning, and fragment‐based assembly. This work establishes a broadly applicable approach for molecular design, accelerating the discovery of NIR‐II fluorophores and extending to optoelectronic materials and therapeutic compounds ...
Yu Zhang, Zhubin Hu, Xinyuan Wang, Zhenrong Sun, Yongye Liang, Cheng Zhong, Haitao Sun   +6 more
wiley   +1 more source

The Futures of Digital Democracy: Four Scenarios. [PDF]

Open Res Eur
Fuchs C, Museba J, Friesch K.
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Using a two-stage D-Optimal mode to select equipment for flexible manufacturing systems. [PDF]

Sci Rep
Yu X, Mi J, Liu J, Long L, Li X, Mo Q.
europepmc   +1 more source