Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

AMSTERDAM, Jan. 02, 2026 (GLOBE NEWSWIRE) -- TomTom (TOM2), the mapping and location technology specialist, today showcased its TomTom Orbis Lane Model Maps , demonstrating the automation and ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

RGB imagery of the study area. The position of 3 plots with lidar reference is marked by yellow rectangle. The center of 1,436 plantations with species and age labels is represented by red dots.

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

There was an error while loading. Please reload this page. In this notebook, we're going to go through an example machine learning project to use the characteristics ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...