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 ...

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

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

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

Artificial intelligence has captured headlines recently for its rapidly growing energy demands , and particularly the surging ...

From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

Oracle Corporation (NYSE:ORCL) is experiencing significant premarket gains following the announcement of a landmark joint venture to operate TikTok in the United States. The tech giant, co-founded by ...

Guthrie, Oklahoma is that rare place where you can rediscover what life was like before digital overwhelm – a Victorian-era jewel just 30 minutes north of Oklahoma City that feels like stepping into a ...

The Indiana Discount Mall transforms ordinary shopping into a vibrant adventure where treasure hunters and culture enthusiasts alike discover a slice of authentic marketplace magic that feels ...

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 ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...