DRL-ED-TSPP: A Deep Reinforcement Learning Model With Encoder-Decoder for Solving the Traveling Salesman Problem With Profits ...

Lazzoni reports on the evolution of design thinking from product-focused to a broad problem-solving framework across various ...

“But use what you’ve learned this week about the mathematical modeling cycle — how to clarify and simplify a challenging situation — to formulate a problem-solving model.” Benallie quickly sketched a ...

The New York judicial system could solve more problems for people with substance abuse and mental health issues, and one Upstate New York trial judge is focused on making that happen. Acting Supreme ...

By employing the power of evolutionary algorithms, Mind Evolution provides a flexible and scalable framework for enhancing the problem-solving capabilities of LLMs. The Bottom Line DeepMind’s Mind ...

Learn how to use the Kolb cycle, a model of reflective practice, to improve your analytic problem solving skills and learn from your experiences.

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI.

With respect to the design science process, Van Aken (2004) makes a distinction between the problem-solving (i.e., regulative) cycle and the reflective cycle. The problem-solving cycle is concerned ...

Google DeepMind has created an AI system that can solve complex geometry problems. It’s a significant step toward machines with more human-like reasoning skills, experts say. Geometry, and ...

Cities The New Problem-Solving Skills That All Cities Need If local governments are to effectively address our biggest global concerns, they’ll need to expand their skill sets.