Results 11 to 20 of about 119,023 (103)
A survey on deep reinforcement learning architectures, applications and emerging trends
IET Communications, EarlyView., 2022 Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara +6 more
wiley +1 more source
Features requirement elicitation process for designing a chatbot application
IET Networks, EarlyView., 2022 This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari +4 more
wiley +1 more source
Angewandte Chemie, EarlyView.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
On the Proper Treatment of Dynamics in Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley +1 more source
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Computational modeling of plant root development: the art and the science. [PDF]
New PhytolSummary Plant root development, like any developmental process, arises from the interplay between processes like gene expression, cell–cell signaling, cell growth and division, and tissue mechanics, which unfold over a wide range of temporal and spatial scales.
Ten Tusscher KH.
europepmc +2 more sources
Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms
Advanced Intelligent Systems, EarlyView.Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows +3 more
wiley +1 more source
Cellulose Functional Gels: Physical Design and Promising Applications
Advanced Physics Research, EarlyView.This review provides a comprehensive overview of cellulose‐based gels, detailing their molecular structure, physical properties, and functionalization methods. The extensive application potential of gels in fields such as biomedicine, flexible electronics, and smart engineering is well discussed.
Minxin Wang +4 more
wiley +1 more source
Survey sabotage: Insights into reducing the risk of fraudulent responses in online surveys
Anatomical Sciences Education, EarlyView.Abstract Validity is a key element of many forms of research—particularly surveys, which are often used in health professions education research. A survey must accurately measure what it is intended to measure to be considered valid. This is becoming increasingly difficult in the age of artificial intelligence (AI), where “bots” (short for robots) are ...
James Bonnamy +3 more
wiley +1 more source
Decision Problems For Turing Machines [PDF]
, 2009 We answer two questions posed by Castro and Cucker, giving the exact complexities of two decision problems about cardinalities of omega-languages of Turing machines.
Dominique Lecomte +2 more
core +3 more sources