Our best models of the cosmos don't add up — but that could change if the universe is actually made of a viscous 'fluid,' a ...
The Black-Scholes model remains the 2026 gold standard for pricing trillions in derivatives. It uses five key data points: stock price, strike, time, interest rates, and volatility. This math-heavy ...
From the war in Ukraine to climate extremes, Europe’s energy future depends on more than new infrastructure: it needs smarter ...
Averages can summarize, but uncertainty explains. By giving uncertainty a language people can share, across teams, tools, and even AI systems, Savage's work creates space for clearer planning and more ...
Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
Researchers reconstruct the spatial spread of pandemic respiratory viruses across metropolitan areas throughout the United ...
Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.
Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
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Mini-batch gradient descent in deep learning explained
Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...
New math model controls biological noise at single-cell level, offering a path to tackle cancer relapse and drug resistance.
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