Results 41 to 50 of about 528,470 (339)
Philosophical and Linguistic Sources of Herbert L. A. Hart’s Theory of Law
The paper presents H. L. A. Hart as a leading exponent of the analytic orientation in legal philosophy. Hart showed that the principles and methods of analytic philosophy yield fruitful implications to law, where they may foster fresh ideas and ...
Doliwa Katarzyna
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Alana Gillespie reviews Flore Coulouma's monograph Diglossia and the Linguistic Turn: Flann O’Brien’s Philosophy of Language (Dalkey Archive Press, 2015).To read the article, click Download or View PDF.
Alana Gillespie
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Natural Language and its Ontology [PDF]
This paper gives a characterization of the ontology implicit in natural language and the entities it involves, situates natural language ontology within metaphysics, and responds to Chomskys' dismissal of externalist ...
Moltmann, Friederike
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
This article explains the mechanisms by which ordinary language subverts positive law in a case study devoted to marriage law between the 1960s and 2013.
Elena Mascarenhas
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A sharp distinction between the notions of explanation and understanding is more than relevant for contemporary philosophy. However, it is difficult to understand the current state and prospects of this terminological distinction without considering its ...
Mykola Bakaiev
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Metalinguistic Proposals [PDF]
This paper sets out the felicity conditions for metalinguistic proposals, a type of directive illocutionary act. It discusses the relevance of metalinguistic proposals and other metalinguistic directives for understanding both small- and large-scale ...
Hansen, Nat
core
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
“Putting the linguistic method in its place”: Mackie’s distinction between conceptual and factual analysis [PDF]
Early in his career and in critical engagement with ordinary language philosophy, John Mackie developed the roots of a methodology that would be fundamental to his thinking: Mackie argues that we need to clearly separate the conceptual analysis which ...
Lossau, Tammo
core
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source

