An AI assistant does not look a company up so much as recall it. Asked who leads a category, it builds an answer from ...

Abstract: Dynamic multiobjective optimization problem (DMOP) denotes the multiobjective optimization problem which varies over time. As changes in DMOP may exist some patterns that are predictable, to ...

Abstract: Due to the curse of dimensionality, two main issues remain challenging for applying evolutionary algorithms (EAs) to large-scale multiobjective optimization. The first issue is how to ...

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

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

Patients across the country are feeling the strain of rising health care costs. One of the biggest reasons? The same medical service can carry vastly different price tags depending on where it is ...

Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ...

Shen Xu has received a 2026 Global Recognition Award for his work in AI systems research, earning top scores across ...

By David George, Biogas Engineer, Waga Energy Why landfill methane matters more than ever

Municipal solid waste landfills are the ...

As capital costs rise, companies need a disciplined way to allocate resources without abandoning commitments to employees, customers, and the environment. Here’s how to find that balance.

A current social media trend that extolls the virtues of "optimization" and "maximization" may actually contribute to ...

The real challenge starts after the code is written The most visible part of the AI boom is easy to recognize. A developer types a prompt, and something functional appears on the screen. A feature ...