"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.

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

With ever more data being generated across modern businesses, companies are looking for actionable intelligence to drive optimization, increase margins and avoid supply chain distributions. The sheer ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

According to market research firm Gartner, Inc., in assessing the completion rate of data science projects, as well as the bottom-line value they generate for their companies, only between 15 and 20 ...

Combinatorial optimization problems are at the root of many industrial processes and solving them is key to a more sustainable and efficient future. Ising machines can solve certain combinatorial ...

Machine learning allows a computer to teach itself how to solve problems by analyzing large sets of data. Human programmers don't teach machine learning systems how to solve problems, nor do they ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Following D-Wave’s announcement of Leap 2, a new version of its quantum ...