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Simulations

4 GoKawiil briefs on this topic

Blog post walks through Monte Carlo estimation of pi using dart-throw simulation

A technical blog post explains Monte Carlo simulation methods, tracing the technique's origins to Stanislaw Ulam and John von Neumann's nuclear weapon calculations after World War II. It demonstrates the approach with a classic example: estimating pi by randomly 'throwing darts' at a square containing an inscribed quarter circle and comparing the ratio of hits inside the circle to total throws. The author notes that even with 1,000 samples the estimate remains imprecise, suggesting roughly 10 billion samples are needed for accuracy.

Sublime Security discusses AI-driven phishing simulations on Apple @ Work podcast

In the latest Apple @ Work episode, host discusses tailored phishing simulations with Samantha Schwartz and Jack Hirsch of Sublime Security. The conversation focuses on how simulated phishing tests are evolving to reflect increasingly sophisticated, AI-generated attack techniques. The episode is sponsored by Mosyle, which markets itself as a unified Apple device management platform used by over 45,000 organizations.

New cosmological simulation traces black hole and 'little red dot' formation from dark matter halos

Researchers built a high-resolution dark-matter N-body simulation, seeded with Planck cosmological parameters, tracking halo mergers from redshift 35 to 7.5 using ROCKSTAR and CONSISTENT-TREES tools. They layered a semi-analytic galaxy-formation model onto this framework to simulate gas cooling, star formation, supernova feedback and radiation, showing that overmassive black holes and compact 'little red dot' galaxies emerge naturally from these early-universe conditions without requiring exotic physics.

Google rolls out interactive Gemini simulations to Workspace users

Google is extending Gemini's ability to generate interactive 3D models and simulations, first announced in April, to all Workspace customers, Workspace Individual subscribers, and users meeting age requirements. The feature lets users ask Gemini to visualize complex concepts—like DNA structures—as manipulable models rather than static images. It is available immediately in the Gemini app.