The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.

The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

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, ...

Effective data modeling enables value creation, efficiency gains, risk reduction, and strategic alignment in an environment of uncertainty and disruption. At Data Summit 2026, Pascal ...

Geospatial Information Systems (GIS) provide the framework for capturing, storing, analysing and visualising spatially referenced data to reveal patterns, relationships and trends in geographic ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...

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 ...

World models, also known as world simulators, are being touted by some as the next big thing in AI. World models take inspiration from the mental models of the world that humans develop naturally. Our ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

The impacts were severe: Within a very short time, tropical storm Doksuri intensified into a super typhoon in July 2023.