Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

A unified climate-energy model framework is needed to ensure grid reliability and security in a renewable energy-powered ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

Classification is the most familiar application, and “accuracy ... of data points, but rather the diversity. And the more bizarre the better. “You see one freaky looking dog, so how many votes should ...

India weather model Bharat Forecasting System uses cutting-edge supercomputing to deliver highly localized forecasts. It ...

Lower-resolution models showed greater inconsistencies, leading to less reliable projections. That being said, there's also some unreliable data from high-resolution models. While they accurately ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has released a long-term, high-resolution dataset that tracks global cropland water-use ...

Recent developments in direct electron detectors as well as improved image data analysis ... structure into high-resolution cryo-EM density. Figure 2: Dependence of model accuracy on starting ...

However, accurate projections of convective weather require “high-resolution” climate models. Yet climate services often lack such detailed data and are typically built on the coarse climate model ...