AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are stochastic in ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

byPhotosynthesis Technology: It's not just for plants! @photosynthesis Cultivating life through Photosynthesis, harnessing sunlight to nourish ecosystems and fuel a sustainable future. Cultivating ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Color prediction algorithms are widely used in gaming and probability-based applications, generating sequences based on mathematical models or randomness. Understanding their inner workings often ...

Abstract: In this talk, I will present a new combinatorial algorithm for maximum flow that is based on running the weighted push-relabel algorithm introduced in [BBST ...

High-quality random number generators are required for various applications such as cryptography, secure communications, Monte Carlo simulations, and randomized algorithms. Existing pseudorandom ...