New research and applied programs in collegiate athletics are using machine learning, wearable sensors, and injury surveillance to predict performance and reduce injury risk. Studies show over 90% ...

This study presents a quantum photonic approach to time-series forecasting, enhancing prediction accuracy through multiphoton ...

AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

AI forecast models offer some clear benefits over traditional physical models, but they are ill-equipped to handle the increasing volatility of a warming climate.

The Central Water Commission (CWC) has commissioned an internal study to forecast four weeks’ advance floods in strategically ...

A study by University of Arizona researchers describes how machine learning can retrieve horizontal winds from the silent ...

Read more about AI brings new hope to Africa’s health crisis; skills shortages slow real-world impact on Devdiscourse ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

Antimicrobial resistance (AMR) is an urgent and growing concern in global health, threatening the effectiveness of antibiotics and the management of ...

Nevertheless, when she spoke about the extreme opportunity, and the potential danger, to every company, industry, city ...

Climate change is drying out rivers across the country. A new AI forecasting tool can help managers, governments and water ...