Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Using an advanced machine-learning algorithm, researchers in the UK and Japan have identified several promising candidate locations for the long-lost landing site of the Soviet Luna 9 spacecraft.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

The IT team at North-Eastern Hill University has launched an innovative AI-driven landslide mapping tool specifically for Meghalaya. Utilizing an impressive combination of ten machine learning ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

A single clear image can rewire the visual brain, making later recognition faster without relying on memory systems.

Transform your PPC budgeting approach with rebalancing based on buyer intent signals for effective media spending.

The AI-Native Telco Will Shape the Autonomous Decade Ahead What makes 2026 so pivotal is not any single breakthrough, but the ...

Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...

An American high school student has stunned the scientific world by developing an algorithm to map 1.5 million previously ...