Results 111 to 120 of about 52,043 (285)
Multistable Physical Neural Networks
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran+3 more
wiley +1 more source
A Bayesian meta‐learning framework is proposed for reaction outcome prediction in low‐data settings. It utilizes a literature‐mined dataset on asymmetric hydrogenation of olefins to build a pre‐trained model. This meta‐model is shown to return better predictions as compared to single‐tasks methods, such as random forest and graph neural networks, given
Sukriti Singh+1 more
wiley +2 more sources
A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao+7 more
wiley +1 more source
A hybrid common fixed point theorem under certain recent properties. [PDF]
Kadelburg Z, Chauhan S, Imdad M.
europepmc +1 more source
A fixed-point theorem of Krasnoselskii
Abstract Krasnoselskii's fixed-point theorem asks for a convex set M and a mapping Pz = Bz + Az such that: 1. (i) Bx + Ay ∈ M for each x , y ∈ M 2. (ii) A is continuous and compact 3. (iii) B is a contraction. Then P has a fixed point.
openaire +2 more sources
UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo+4 more
wiley +1 more source
Minimax and fixed point theorems
Since then, numerous applications of this interesting theorem have been found. The object of this note is to obtain a generalization of Theorem 1 by relaxing, among the others, the compactness condition. It contains a fixed point theorem for maps with inwardness or outwardness conditions given by Fan [6]. As its direct consequence, we also obtain a new
openaire +2 more sources
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
FIXED-POINT THEOREMS FOR NONCOMPACT MAPPINGS IN HILBERT SPACE [PDF]
Felix E. Browder
openalex +1 more source