Cornell Lab for Ornithology plans data linkup between app and population monitoring on eBird platform ...

Overview Explains ten major data labeling roles powering artificial intelligence across industries and applications worldwide ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...