Results 91 to 100 of about 8,918 (283)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Analiza i EgzystencjaThe article is devoted to selected new trends in metaethics, ethics, political philosophy, and the practice of philosophy with the use of artificial intelligence. It consists of five parts.
Artur Szutta
doaj +1 more source
Comment on David Kaspar's Intuitionism [PDF]
, 2015 In his book Intuitionism, David Kaspar is after the truth. That is to say, on his view, “philosophy is the search for the whole truth” (p. 7). Intuitionism, then, “reflects that standpoint” (p. 7).
Mizrahi, Moti
core
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Two versions of minimal intuitionism with the CAP. A note.
Theoria, 2010 La “Conversa de la Propiedad Ackermann” (CAP) es la no demostrabilidad de proposiciones puramente no-necesitivas a partir de proposiciones necesitivas.
Gemma ROBLES, José MÉNDEZ
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The Hard Problem for Soft Moral Realism [PDF]
, 2019 Several leading moral philosophers have recently proposed a soft version of moral realism, according to which moral facts—though it is reasonable to postulate them—cannot metaphysically explain other facts (Dworkin 2011; Parfit 2011; Scanlon 2014 ...
Zhong, Lei
core
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, EarlyView.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Mass problems and intuitionistic higher-order logic [PDF]
, 2014 In this paper we study a model of intuitionistic higher-order logic which we call \emph{the Muchnik topos}. The Muchnik topos may be defined briefly as the category of sheaves of sets over the topological space consisting of the Turing degrees, where the
Basu, Sankha S., Simpson, Stephen G.
core
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
A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory
Judgment and Decision Making, 2012 Combining meaning, memory, and development, the perennially popular topic of intuition can be approached in a new way. Fuzzy-trace theory integrates these topics by distinguishing between meaning-based gist representations, which support fuzzy (yet ...
Valerie F. Reyna
doaj +1 more source