Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.
Positioned at the centre of Southern Africa’s transport network, Limpopo carries a constant flow of traffic along key routes such as the N1, R71 and R37. These corridors are vital for linking ...
In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in ...
AI has raised the bar for what qualifies as “good data.” The conversation is no longer about how much data marketers can collect but how well that data reflects reality. In this new era, success ...
Apple has introduced two interesting ways to view photos across its platforms, Spatial Photos and Spatial Scenes, and each adds depth in its own way. Here are the differences and what you need to know ...
Medal, a platform for uploading and sharing video game clips, has spun out a new frontier AI research lab that’s using its trove of gaming videos to train and build foundation models and AI agents ...
RFID is widely used in logistics, retail, manufacturing, and healthcare to track assets, inventory, and equipment. It helps businesses with organizing and improving daily visibility across locations.
The Purchaser Business Group on Health is launching a massive data project that aims to make it easier for employers to get their arms around what they're actually paying for healthcare. The ...
Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...
A new review shows that while wearables can reliably track steps and heart rate, their accuracy for sleep, stress, and blood pressure remains uneven, raising questions about when these devices will be ...
New York, NY [September 4, 2025]—A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train ...