This seminar is part of the Research Semester Programma 'Democratizing real-world problem tailored optimization '.

Outperform your competitors by using negative keywords to lower your advertising costs while keeping your sales volume high.

Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...

CLEVELAND, Ohio — The Guardians are once again being underestimated by baseball’s most sophisticated projection systems, a familiar and increasingly puzzling trend that was discussed in depth on the ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

If you’re still building Google Ads around keywords, you’re behind. Here's what that means for eligibility, structure, and ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Tension: Brands chase content volume expecting performance gains, yet find themselves trapped in diminishing returns despite ...