Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
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 ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...
Incoming Northwestern Engineering faculty member Zikai Xiong won the 2025 Institute for Operations Research and the Management Sciences (INFORMS) Optimization Society Student Paper Prize. Xiong, who ...
Popular Reinforcement Fine-Tuning (RFT) methods, e.g., Group Relative Policy Optimization (GRPO), are limited by data preparation bottlenecks (e.g., noise or high cost) and exhibit unstable ...
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