For the first time in 30 years, computer scientists have found a better way to allocate objects evenly between two groups.

Scientists used a new error correction method to encode 70 logical qubits and solve a problem that is intractable for classical computers. The quantum computation ...

Allstate and IBM are tackling a fundamental challenge in insurance, balancing risk across entire portfolios, by applying solutions from computer science. The collaboration addresses a computational ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

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 ...

Getting design and engineering teams on the same page about what digital product to create and how to build it continues to be a challenge. A lot of companies find themselves dealing with scattered ...

Combinatorial optimisation for knapsack problems addresses the challenge of selecting discrete items to maximise value under capacity constraints. Such problems are central to resource allocation, ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Abstract: The Knapsack Problem (KP) is a renowned combinatorial optimization challenge, recognized for its NP-hard complexity. This characteristic renders large-scale KP instances resistant to ...