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 ...

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

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 ...

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.

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.

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

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 ...

The development of Artificial General Intelligence (AGI) presents unprecedented challenges in ensuring system alignment, robustness, and beneficial outcomes (Bostrom, 2014; Russell, 2019). Current ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...