Results 31 to 40 of about 60,556 (268)
Progic 2025: The 12th Workshop on Combining Probability and Logic
Report on the Conference Progic 2025: The 12th Workshop on Combining Probability and Logic, Carnegie Mellon University, Pittsburgh, PA -- April 3–5, 2025.
Eissa Haydar
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
A Constructive Treatment to Elemental Life Forms through Mathematical Philosophy
The quest to understand the natural and the mathematical as well as philosophical principles of dynamics of life forms are ancient in the human history of science.
Susmit Bagchi
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Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)
Petr Hájek 0001 +2 more
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During creep of a single‐crystal Ni‐based superalloy, the overall crystal orientation is observed to remain constant while the microstructure evolves. Despite the lack of macroscopic rotation, small (<1°) rotations are observed on the submicron size scale and are accommodated by counteracting rotations over the scale of several micrometers.
E. J. Payton +3 more
wiley +1 more source
Naturalizing Logic: How Knowledge of Mechanisms Enhances Inductive Inference
This paper naturalizes inductive inference by showing how scientific knowledge of real mechanisms provides large benefits to it. I show how knowledge about mechanisms contributes to generalization, inference to the best explanation, causal inference, and
Paul Thagard
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An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Note on Probability of Logical Sentences and the Linda Problem
This paper presents a logical concept of probability which seems to be obvious, as it is, but the author is not aware of any elaboration of a developed studies on the issue or of any special philosophical application of it.
Adam Olszewski
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