BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

The future belongs to organizations that fuse exponential technology with exponential human learning grounded in a deep respect for people.