An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

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 ...

Quantum researchers have created a new algorithm that can reduce noise in qubits while they are working, and it does this in real time. The method works for many different types of qubits, even when ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

Abstract: 0-1 knapsack problem is a typical NP complex issues in field of computer. Traditional solve knapsack problem is recursively backtracking and greedy methods. Use recursive backtracking to ...

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 ...

the id of the item, the profit of the item and the weight of the item. The last line contains an integer describing the knapsack capacity, c. This describes a problem instance in which there are n=3 ...

ABSTRACT: This study presents a two-echelon inventory routing problem (2E-IRP) with an end-of-tour replenishment (ETR) policy whose distribution network consists of a supplier, several distribution ...