Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The era of digital twins offers a future where deep biology, AI and real-world data combine to make medicine more personal, ...

After returning to his research group at the Vrije Universiteit in Brussels, Muheki began to extract data from the more than ...

How does deploying an aircraft carrier affect the future readiness of the fleet? A new data-modeling tool aims to predict it. (MC3Hannah Kantner/Navy) When it’s time to make a decision about sending a ...

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...