Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...

Why do algorithms keep showing us content we claim not to want? The answer isn’t manipulation—it’s conflict between our ...

Researchers developed SECS, an AI system that predicts molecular structures from spectroscopy data. By ranking plausible ...

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s ...

The autonomous healthcare system is about to take shape, and health systems must prepare to evolve alongside it.

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 ...

The advent of the evolutionary scale modeling (ESM) series of protein language models (PLMs) is a significant innovation in the convergence of large language models (LLMs) with protein representation.

Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) are widely existed in real-world applications and emerged as a prominent research focus in the evolutionary computation ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Engineering design today involves navigating vast design spaces filled with competing requirements, hidden constraints, and nonlinear behaviours. From structural optimization to aerodynamic shaping to ...

Google scientists have created a new algorithm that can solve problems on a quantum processor 13,000 times faster than the world's fastest supercomputers. They say it brings us one step closer to ...