The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Graph cover problems form a critical area within discrete optimisation and theoretical computer science, addressing the challenge of selecting subsets of vertices (or edges) that satisfy predetermined ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

The opening days of the Detroit Auto Show provided the backdrop for one of the industry’s more closely watched honors, as the Automotive Press Association revealed the winners of the North American ...

Wanna see a trick? Give us any topic and we can tie it back to the economy. At Planet Money, we explore the forces that shape our lives and bring you along for the ride. Don't just understand the ...