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 ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

In engineering design, the traditional “deterministic” modelling approach assumes fixed values for loads, material properties, geometry, etc. But in real life, every part is slightly different, no two ...

Abstract: Due to the unreliable communication network, networked control systems (NCSs) are often subjected to communication imperfections including stochastic sampling intervals (SSIs) and packet ...

The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

This important work presents a stochastic branching process model of tumour-immune coevolution, incorporating stochastic antigenic mutation accumulation and escape within the cancer cell population.

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...