New AI Framework Closes the Gap Between Prediction and Decision in Supply Chains
A new decision-aware framework that couples demand prediction, simulation calibration, and robustness verification lifted JD.com's order fulfillment rate to 92.4 ...
A new decision-aware framework that couples demand prediction, simulation calibration, and robustness verification lifted JD.com's order fulfillment rate to 92.4 ...
Researchers in India report that a Bayesian-optimized decision tree detects black hole attacks in RPL-based IoT networks with 98.71% accuracy, ...
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 ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine