Results 111 to 120 of about 10,242,979 (306)
, 2022 Aim: Artificial intelligence (AI) is rapidly evolving in healthcare worldwide, especially in surgery. This article reviews important terms used in machine learning and the challenges of deep learning in surgery.Methods: A review of the English literature
Tawfik, Sherifa +3 more
core
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 +3 more
wiley +1 more source
Architecting Intelligence: Artificial Intelligence and Deep Learning
Architecting Intelligence: Artificial Intelligence and Deep Learning presents a comprehensive academic overview of Artificial Intelligence and Deep Learning, focusing on their concepts, methodologies, applications, and emerging developments. The book is designed to provide readers with a structured understanding of intelligent computing and deep ...
Dr. Kranti Kumar Dewangan +2 more
openaire +1 more source
Artificial Intelligence for Videogames with Deep Learning [PDF]
, 2019 In this project, we propose different techniques for developing Artificial Intelligences for videogames using Deep Learning models, with a special focus on the usage of neural networks for the development phase of a videogame.
Francés Lillo, Adrián
core
Fiber‐Based Wearable Electronics as Adaptive Biointerfaces for Healthcare Applications
Advanced Functional Materials, EarlyView.Fiber‐based wearable electronics have been extensively studied as adaptive healthcare biointerfaces. In this review, we classify and introduce fiber‐based systems according to biointerface design, conductive materials, transduction mechanisms, and healthcare applications, and provide a perspective on their translation toward reliable, continuous ...
Sangwoo Hong +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Forming‐free epitaxial Pt/La0.5Sr0.5CoOx (LSCO)/La0.5Sr0.5MnO3 (LSMO) memristors exhibit heterogeneous and partially reversible topotactic switching involving brownmillerite (BM)‐, Grenier (GN)‐like‐, and perovskite (PV)‐like configurations. Atomic‐resolution scanning transmission electron microscopy and in situ transmission electron microscopy resolve
Zi‐Qin Hong +5 more
wiley +1 more source
Deep Learning Artificial Intelligence Tool for Automated Radiographic Determination of Posterior Tibial Slope in Patients With ACL Injury. [PDF]
Orthop J Sports Med, 2023 Lu Y +7 more
europepmc +1 more source
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
The integration of learning and reasoning is one of the key challenges in artificial intelligence and machine learning today. The area of Neuro-Symbolic AI (NeSy) tackles this challenge by integrating symbolic reasoning with neural networks.
Marra, Giuseppe
core +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source