The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

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

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

A new ACU study has identified strategies to address Australia's growing school principal turnover using reforms that focus ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

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

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...