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

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Social platforms no longer reward users who bring attention through their visual content or their innovative ideas. Creators who used to depend on their gut fee ...

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

Smart Bidding and Meta’s delivery systems have leveled the field. To scale PPC, fix creative fatigue, increase asset volume, and test faster.

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

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

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 ...

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

Why the least efficient forms of thinking may be the most valuable in the age of artificial intelligence. For most of modern ...

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 ...