Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions.

Most organizations retain vast amounts of useless data, driving up costs and undermining governance without strategic ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Quantum computing has entered a bit of an awkward period. There have been clear demonstrations that we can successfully run quantum algorithms, but the qubit counts ...

Traditionally, people in the business world laud entrepreneurs as visionaries—risk-takers, lone wolves with audacious ideas. Risk-taking, ambition and resilience are vital parts of becoming an ...