Results 101 to 110 of about 191,027 (291)
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
This paper investigates a class of games with large strategy spaces, motivated by challenges in AI alignment and language games. We introduce the hidden game problem, where for each player, an unknown subset of strategies consistently yields higher rewards compared to the rest.
Buzaglo, Gon +2 more
openaire +2 more sources
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The Indirect Impacts of Smoking Bans in Gaming Venues [PDF]
Recent changes in smoking laws have influenced gambling behaviour at Electronic Gaming Machine (EGM) venues. In this paper we review the literature that examines the interrelationship between gambling, problem gambling and smoking in order to gauge the ...
Jenny Lye, Joe Hirschberg
core
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Toward a delineation of the differences between high engagement and problem gaming. [PDF]
Addict Behav Rep, 2022 Slack JD, Delfabbro P, King DL.
europepmc +1 more source
You are what you play?: a quantitative study into game design preferences across gender and their interaction with gaming habits [PDF]
, 2011 Gaming is rapidly gaining popularity as a pastime among women. One explanation for this could be the industry targeting female gamers through specific ‘girl game’ releases.
Courtois, Cédric +3 more
core +2 more sources
What's the Problem in Problem Gaming
, 2018 The concept of video- or computergame addiction has entered the popular vocabulary as a common way of talking about the conflicts and troubles emerging in relation to video gameplay in the socio-cultural contexts of everyday life. Whether they appear in newspaper articles announcing the advent of a new grave diagnosis, or in the arguments between ...
Enevold, Jessica +2 more
openaire +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source