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.

Transfer of math, physics, and communication skills into the entry-level photonics workforce, NSF Award 1432578, Sept 2014 – Aug 2019 Exploring factors that shape education & workplace training on ...

Google DeepMind has made a significant breakthrough in artificial intelligence (AI) research, unveiling the remarkable capabilities of Transformer models. Their findings challenge the conventional ...

According to computational complexity theory, mathematical problems have different levels of difficulty in the context of their solvability. While a classical computer can solve some problems (P) in ...

Problem-solving is an essential life skill that involves identifying, analyzing, and resolving challenges effectively. Have you ever found yourself staring at a problem, feeling like you’re trying to ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...

Quantum annealing emerges as a promising approach for tackling complex scheduling problems such as the resource-constrained project scheduling problem (RCPSP). This study represents the first ...

Combinatorial optimisation addresses the search for optimal configurations within discrete, often high‐dimensional spaces, where the number of feasible solutions grows exponentially with problem size.

The harsh reality is that most tools and techniques used today to investigate organizational and programmatic failures, human performance deficiencies, equipment failures and accidents/incidents ...

A screenshot from the downloadable game, Genetics Lab, designed to test complex problem solving The idea that skills other than traditional IQ might matter more than testable intelligence in the real ...