Tag: Bayesian optimization

Researchers have developed RNAmotifs 2.0, a computational framework that couples motif discovery with binding and splicing data to identify the ...

An AI framework called AGENT has engineered solid-state mRNA vaccines that retain full bioactivity after two months at 37 degrees ...

MIT researchers used a data-efficient AI framework to discover solid-state mRNA–lipid nanoparticle vaccine formulations that retained full bioactivity after months ...

Researchers combined machine learning-guided optimization with self-assembling protein scaffolds in a cell-free enzyme system to boost liquiritigenin production to 439 ...

Researchers have developed a spectrum-guided, teacher–student AI framework that adapts its time windows to the rhythms of unlabeled system logs ...

A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...

A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...

A new perspective argues that machine learning, real-time quality control, and autonomous laboratory platforms can transform chemical vapor deposition of ...

Researchers combined Bayesian optimization, machine learning and explainable AI to identify silver-cobalt bimetallic nanoparticles that reduce nearly all p-nitrophenol in ...

A new random forest model with spatial cross-validation reveals that slope and topographic relief control landslide hazards along the Lhasa–Dingri ...