Mathematical optimization and machine learning are two tools that, at first glance, may seem to have a lot in common. Newsletters Games Share a News Tip Featured ...

Machine learning algorithms translate an optimization task -- say, finding the shortest route for a traveling salesperson through several cities -- into a cost function, said coauthor Lukasz Cincio.

Machine Learning Can Revolutionize Content Optimization Data needs a revolution. There’s just too much data for humans to sift through and make sense of, so we need technology to tell us when ...

The Data Science Lab. How to Do Machine Learning Evolutionary Optimization Using C#. Resident data scientist Dr. James McCaffrey of Microsoft Research turns his attention to evolutionary optimization, ...

With machine learning, companies can discover quickly — even preemptively — who their best and worst suppliers are and flag potential threats for disruption.

The European Union Aviation Safety Agency (EASA) and Daedalean published their second joint report Concepts of Design Assurance for Neural Networks (CoDANN) II, on May 21 to explain key machine […] ...

This collection brings together the latest computational and experimental advances in machine learning and big data-driven approaches for high-throughput prediction, synthesis, characterization ...

Embracing AI and machine Learning Machine learning techniques are used across industries in various areas of the supply chain. It is important to note that there are several applications of ML ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on Variational Quantum Algorithms (VQA). This ...