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 ...

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

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

How much of the energy consumed in an AI chip is spent doing something useful? This question affects everything from software ...

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 ...

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 ...

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 ...

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 ...

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

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

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