Results 31 to 40 of about 2,762 (268)

Sobre la equivalencia extensional entre la representación epistémica y la representación-como

Revista Guillermo de Ockham
En 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

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Epistemic Luck [PDF]

, 2018
In almost any domain of endeavour, successes can be attained through skill, but also by dumb luck. An archer’s wildest shots occasionally hit the target. Against enormous odds, some fair lottery tickets happen to win. The same goes in the case of purely cognitive or intellectual endeavours.
Broncano-Berrocal, Fernando, Carter, J. Adam   +1 more
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

History and Representation: a methodological approach from Castoriadis, Benjamin and Foucault’ s thought towards the political field

methaodos.revista de ciencias sociales, 2017
This paper aims to put in discussion the perspective of three authors around the same problem: how to analyze the story and how «bring to the present» historical and social events.
Mariela Cecilia Genovesi
doaj   +1 more source

Time in M. Foucault’s Epistemological Configurations

Дискурс, 2021
Introduction. The article examines the concepts of time and space set forth in the works of M. Foucault, reveals their nature and Genesis. An analysis of the space-time continuum of historical retrospect in Foucault’s epistemological configurations is ...
Yu. L. Sirotkin
doaj   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

Episteme, Sophia e le Muse [PDF]

S&F_scienzaefilosofia.it, 2020
Episteme, Sophia and the Muses This article is an attempt to demonstrate how the scientist, rather than following certain deterministic prescriptions of epistemologists, achieves his goals with an empirical imagination of an almost artistic nature ...
SCARPELLI, GIACOMO
doaj  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source