In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

BigHat Biosciences, an AI-driven platform and therapeutics company, announced today the appointment of Stefan Weigand, PhD, ...

Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

THE American Thoracic Society (ATS) International Conference 2026, held in Orlando, Florida, USA, May 15–20, united the pulmonary medicine community for a week of discussion on the latest data, ...

A team of scientists from Oak Ridge National Laboratory, Cleveland Clinic and IBM has calculated nine molecular ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Engineers must accurately predict thermal stabilization and calibrate simulation software to achieve consistent quality in ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.