AI outperforms traditional weather forecasting in many cases. But a new study shows that when it matters most, current AI ...

Artificial intelligence is accelerating a shift in financial forecasting, blending traditional accounting principles with machine learning, big data, and predictive analytics to improve accuracy and ...

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

New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Extreme heat events have been demonstrated to increase emergency department (ED) visits, hospitalizations, and mortality, but evidence of their impacts on the associated costs and on outpatient use is ...

For decades, scientists have worked to improve predictions of El Niño-Southern Oscillation (ENSO), a climate powerhouse that ...

The cryptocurrency market has been one of the most data-heavy financial sectors, with daily trading volumes reaching over ...

Onvansertib in combination with trastuzumab deruxtecan demonstrated enhanced antitumor activity, including tumor regression and apoptosis in HER2-low breast cancer models, supporting its potential for ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.