Results 81 to 90 of about 21,957 (251)

Exploring Modeling Techniques for Soft Arms: A Survey on Numerical, Analytical, and Data-Driven Approaches

Biomimetics
Soft arms, characterized by their compliance and adaptability, have gained significant attention in applications ranging from industrial automation to biomedical fields.
Shengkai Liu, Hongfei Yu, Ning Ding, Xuchun He, Hengli Liu, Jun Zhang   +5 more
doaj   +1 more source

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

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Field‐Programmed Anisotropy in Magneto‐Piezoelectric Composites for Material‐Encoded Mechanoperception

Advanced Materials, EarlyView.
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim, Yumin Kwon, Dabin Kim, Minsun Oh, Jin Young Jung, Dongyeong Gim, Kootak Hong, Jun Yeon Hwang, Sang‐Woo Kim, Minjeong Ha   +9 more
wiley   +1 more source

Exploring the Use of Artificial Intelligence and Robotics in Prostate Cancer Management. [PDF]

Cureus, 2023
Arigbede O, Amusa T, Buxbaum SG.
europepmc   +1 more source

Robotics: Ethics of artificial intelligence [PDF]

Nature, 2015
Stuart, Russell, Sabine, Hauert, Russ, Altman, Manuela, Veloso   +3 more
openaire   +2 more sources

Decoupling Photochemical and Photothermal Effects Using Molecular Motors Enables Fast, Intelligent, and Life‐Like Motions in Soft Materials

Advanced Materials, EarlyView.
A light‐responsive liquid crystal (LC) polymer network integrating molecular rotary motors and photothermal converters enables the decoupling of photochemical and photothermal effects. Selective wavelength activation allows orthogonal control over persistent shape encoding and fast reversible motion, enabling programmable soft robots capable of complex
Guiying Long, Jinyu Sheng, Alexander Ryabchun, Ben L. Feringa   +3 more
wiley   +1 more source

Artificial Intelligence and Robotics in Transplant Surgery: Advancements and Future Directions. [PDF]

Cureus, 2023
Bokhari SFH.
europepmc   +1 more source

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source

Unified regularity measures for sample-wise learning and generalization

Visual Intelligence
Fundamental machine learning theory shows that different samples contribute unequally to both the learning and testing processes. Recent studies on deep neural networks (DNNs) suggest that such sample differences are rooted in the distribution of ...
Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu   +7 more
doaj   +1 more source