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Machine learning algorithm that predicts properties' values benefits housing market, says study
Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers have studied the impact of a ...
One of the most pervasive and significant challenges in materials science is the prediction of the equilibrium structure and properties of interfaces in multicomponent systems as processing variables ...
Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum Technologies. Journal of Applied Mathematics and Physics, 13, 4341-4354. doi: ...
A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.
Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...
Students will develop an understanding that objects and materials have characteristics or properties. Students will be able to recognize similarities between the properties of certain objects and ...
MEMPHIS, Tenn. - The largest landlord in the country, which manages multiple West Tennessee apartments, has agreed to stop using "anticompetitive algorithms" to determine rent prices. "That's not ...
The origins of magnetic steel can be traced back to the 18 th century when scientists began experimenting with iron alloys. In 1820, Hans Christian Oersted's accidental discovery of electromagnetism ...
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