Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Self-correcting supply chains mark a shift from reactive analytics to proactive adaptation: AI that can detect disruption, ...
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 ...
CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
To keep AI coding assistants from running amok, developers must learn to write good specs and develop product management ...
White noise is a random signal with equal power across frequencies, commonly heard as static, and widely used in acoustics ...
A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
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 ...
By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...
Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
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