Results 61 to 70 of about 373,538 (357)
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
Non-Blocking Batch A* (Technical Report) [PDF]
Heuristic search has traditionally relied on hand-crafted or programmatically derived heuristics. Neural networks (NNs) are newer powerful tools which can be used to learn complex mappings from states to cost-to-go heuristics. However, their slow single inference time is a large overhead that can substantially slow down planning time in optimized ...
arxiv
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin+7 more
wiley +1 more source
Objective Mobile health applications hold immense potential for enhancing health outcomes. Usability is one of the main factors for the adoption and use of mobile health applications. However, despite the growing importance of mHealth applications, clear
Zahra Galavi+2 more
doaj +1 more source
Performance Heuristics for GR(1) Synthesis and Related Algorithms [PDF]
Reactive synthesis for the GR(1) fragment of LTL has been implemented and studied in many works. In this workshop paper we present and evaluate a list of heuristics to potentially reduce running times for GR(1) synthesis and related algorithms.
Elizabeth Firman+2 more
doaj +1 more source
Atomic transition rates for manipulating single silicon atoms in graphene with an electron beam in the scanning transmission electron microscope are experimentally extracted. Automated experiments and deep learning methods provide a means to probe and collect vast amounts of data to determine transition probabilities as a function of beam coordinate. A
Max Schwarzer+10 more
wiley +1 more source
We conducted two studies (N = 263) to examine the relationship between the pioneering-innovative orientation of managers, innovation heuristics and organisational performance.
Sanjay Singh, Yogita Aggarwal
doaj
Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems. Despite the successful development of various novel dispatching rules for traditional job shop scheduling environments, nearly none of ...
Armin Klausnitzer+2 more
doaj +1 more source
In‐Hand Singulation, Scooping, and Cable Untangling with a 5‐Dof Tactile‐Reactive Gripper
This article presents a two‐fingered gripper with five degrees of freedom and a vision‐based tactile sensor for dexterous in‐hand manipulation. It performs complex tasks such as object singulation within granular media, scooping and precise card insertion, and cable untangling.
Yuhao Zhou+3 more
wiley +1 more source
Online Speedup Learning for Optimal Planning [PDF]
Domain-independent planning is one of the foundational areas in the field of Artificial Intelligence. A description of a planning task consists of an initial world state, a goal, and a set of actions for modifying the world state. The objective is to find a sequence of actions, that is, a plan, that transforms the initial world state into a goal state.
arxiv +1 more source