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, ...

Problems will always present themselves, and you need to be able to keep yourself on track, ask yourself the right questions and solve problems fast and efficiently. When you’re able to get things ...

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 ...

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.

Complex problem solving (CPS) represents an essential dimension of contemporary education, capturing the multifaceted cognitive and metacognitive processes that underpin effective learning in ...

Organizational strategies that help students break complex word problems into manageable chunks may be the key to solving them, according to a 2025 study.

Have you ever wished for a button that instantly makes complicated writing simple? Microsoft Copilot in Word is the next best thing. With just a few prompts, it turns tangled text into something ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Instead of directly solving the time-consuming and complex many-body problem over and over again, researchers have created a mathematical shortcut, using a transformation into a special subspace. This ...

Developing a machine that processes information as efficiently as the human brain has been a long-standing research goal towards true artificial intelligence. An interdisciplinary research team at ...