Problem-solving is not usually completed in a straight line, with fixed questions and predetermined answers. Instead, it requires learning, agility, curiosity, and intuition.

The Travelling Salesperson Problem a combinatorial optimization problem and one of the most intensively studied puzzles in mathematics. The challenge is to find the shortest route that visits every ...

(frankie's - shutterstock) Opacity in AI is a formal, academic description of what is more commonly referred to as, "What the heck is the algorithm doing?" It's a problem that is at the root of many ...

Rigetti was selected by the Defense Advanced Research Projects Agency (DARPA) to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems as part of the ...

Proxy Problems—Solving for Discrimination in Algorithms Sarah Auchterlonie Brownstein Hyatt Farber Schreck + Follow Contact ...

Manatchanok Khonchaliew, Narin Petrot, Montira Suwannaprapa, Two-step inertial viscosity subgradient extragradient algorithm with self-adaptive step sizes for solving pseudomonotone equilibrium ...

Using tools without proper training for root-cause problem-solving: With growing knowledge of Lean project management, more people are becoming familiar with tools and techniques like "the five ...