Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

A team from the University of Science and Technology of China has shown that a quantum processor with just nine interacting atomic spins can outperform classical neural networks with thousands of ...

OKLAHOMA CITY — Artificial intelligence is everywhere from our smartphones to self-driving cars, even at the grocery store. Everything is getting smarter. So, why shouldn't severe weather forecasts ...

The Sun’ll come out tomorrow, and you no longer have to bet your bottom dollar to be sure of it. Google’s DeepMind team released its latest weather prediction model this week, which outperforms a ...

Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.

PALM BEACH, Fla., Dec. 12, 2024 (GLOBE NEWSWIRE) -- FN Media Group News Commentary - Most industry insiders believe that Quantum Computing is potentially a better fit for weather forecasting than ...

TORONTO, Dec. 12, 2024 (GLOBE NEWSWIRE) -- ZenaTech, Inc. (ZENA) (FSE: 49Q) ("ZenaTech"), a technology company specializing in AI (Artificial Intelligence) drone ...

BSES is using AI and machine learning-based forecasting, along with IMD-POSCO weather inputs, to predict demand and manage ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...