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

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

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 ...

In scenarios where your model’s accuracy suffers due to lack of sufficient data or high situational variability ... s real purpose is. Should it help you grow revenues or reduce costs?

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

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 ...

Above: An August 2018 monsoon forecast for India, shown at left by a global weather model operating at 13-kilometer resolution. At right, the new IBM Global High ... data to show the accuracy ...