Registration is open for faculty to attend the Westwood Lecture Series, which will now take place on a new date Dec. 4. This event was originally scheduled for Dec. 5. Mohit Tawarmalani, the executive ...

Mohit Tawarmalani, the executive associate dean of faculty and Allison and Nancy Schleicher Chair in Management in the Mitch Daniels School of Business, presented “Optimization Beyond Convexity: ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, creator of the world’s fastest mathematical optimization solver, announced the launch of Gurobi Compass, its new expert-led training program ...

LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment. Formerly known as gPROMS ...

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

"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.

Philips, a multinational healthcare technology company, has seen revenues approach EUR4.167bn in Q1, with comparable sales growth of 6% YoY and an adjusted EBITDA margin of 13.8%. Despite ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...