Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

AI data centers face a new networking bottleneck as GPU clusters grow, making fabric design, congestion control, and vendor ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Potentially a broader lesson from this redesign is that despite the improvements we can empirically observe, route changes ...