Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the growing effects of global ...

The new open source project IronCurtain uses a unique method to secure and constrain AI assistant agents before they flip ...

For years, cosmologists have argued over a simple question with an awkward answer: How fast is the universe expanding right ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

If the benefit of long-term social projects to tackle climate change is heavily discounted, the investment appears less attractive.

AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Blaise Agüera y Arcus argues that prediction is the fundamental principle behind intelligence and “may be the whole story”.

An ecosystem is not a still life. Even where everything looks stable—a woodland, a lake, the soil—the internal "bookkeeping" ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...