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 ...

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 ...

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

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 ...

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

Materials-to-Royalty Ratio -- 1.5:1 in the quarter, with full-year expectation of 1.3:1 as mix normalizes. Phosphorescent Blue -- Still viewed as a "significant opportunity"; management believes ...

Overview: Bangalore startups lead AI innovation with strong talent, funding and enterprise demand growthCompanies rapidly ...

From flood forecasting to agriculture, Google’s global chief scientist Jeff Dean explains how Indian engineering is driving ...

The transition between wakefulness and states of reduced consciousness, whether pharmacologically induced via anesthesia or pathologically necessitated by ...