The Covid-19 pandemic has triggered a wave of severe economic disruption around the world, causing widespread chaos, profound changes in the business landscape and overwhelming operational challenges.

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

Research and investment in artificial intelligence (AI) have rapidly expanded over the past decade. The International Data Corporation predicts that global spending on cognitive and AI systems will ...

Survey highlights industry trends and the increasingly critical role of optimization across industries. The report is based on survey responses from 440 commercial users of mathematical optimization.

Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

Logistical chaos is not a new phenomenon in the supply-chain world, but the scale of upheaval caused by COVID-19 is something that stakeholders have never seen before: 94% of Fortune 1000 companies ...

BERLIN--(BUSINESS WIRE)--How can algorithms and optimization models help companies deal more resiliently with unforeseen crises and adapt their processes to disruptive challenges? At the 4th EURO ...

When people program new deep learning AI models — those that can focus on the right features of data by themselves — the vast majority rely on optimization algorithms, or optimizers, to ensure the ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased to announce the release of its annual State of Mathematical Optimization Report.