University of Geneva-led research says machine learning forecasts underestimate intensity, frequency of heat waves, cold ...

The Smart e-Drive market presents significant opportunities driven by advancements in AI, battery management, and power ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Thilakavathi Sankaran is redefining enterprise strategy by replacing stale, retrospective reporting with AI-driven predictive ...

Quantum machine learning is moving from theory to practice, with hybrid quantum-classical systems showing promising results in fields like image recognition, forecasting, and drug discovery. Recent ...

What if farmers could see a pest outbreak coming before the insect ever had a chance to damage their crop? New research from ...

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of stand-alone photovoltaic systems. The approach uses a bidirectional long short-term ...

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