Results 41 to 50 of about 9,257 (304)
The Papillomavirus Episteme: a major update to the papillomavirus sequence database
Nucleic Acids Res., 2016 The Papillomavirus Episteme (PaVE) is a database of curated papillomavirus genomic sequences, accompanied by web-based sequence analysis tools. This update describes the addition of major new features.
K. Doorslaer +9 more
semanticscholar +1 more source
Repudiating the Fourth Industrial Revolution Discourse: A New Episteme of Technological Progress
World Futures : Journal of General Evolution, 2020 The Fourth Industrial Revolution (4th IR) is a techno-infused discourse around which high-level discussions of the future have come to revolve. The vision depicted by the 4th IR is one of exponential technological change and convergence, a scene in which
Alexander Trauth-Goik
semanticscholar +1 more source
Sobre la equivalencia extensional entre la representación epistémica y la representación-como
Revista Guillermo de OckhamEn las últimas décadas han emergido en la filosofía de la ciencia dos propuestas en torno a los modelos científicos y su función representacional. De acuerdo con una de ellas, los modelos científicos se subsumen en la categoría de las representaciones ...
Jairo Isaac Racines Correa
doaj +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Advanced Science, EarlyView.Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
Advanced Science, EarlyView.Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang +11 more
wiley +1 more source
Epistemic paternalism and epistemic value*
Philosophical Inquiries, 2013 My concern is with the merits (or otherwise) of a form of paternalism which is specifically epistemic, one that mirrors familiar forms of paternalism in the ethical and political spheres. To this end, I critically explore Alvin Goldman’s seminal discussion of this topic, which runs along veritistic lines.
openaire +2 more sources
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
Stereotypes, Epistemic Dilemmas, and Epistemic Dispositions [PDF]
, 2021 People sometimes face an epistemic dilemma with regards to stereotyping. We harbor a stereotype that reflects something of social reality, e.g., high rates of criminal involvement among members of a certain social group. But if we apply the stereotype when making judgments about individuals, we make certain mistakes, e.g., failing to notice positive ...
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source