A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Simulation results demonstrate that our proposed unsupervised learning framework outperforms existing supervised learning and heuristic solutions, showcasing an improvement of up to 20% in spectral ...

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

We employed unsupervised machine learning methods and found that low-dose statins improve the prognosis of ICH. Methods: We employed unsupervised machine learning techniques to analyze unidentified ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

To simplify this complexity, supervised and unsupervised machine learning algorithms have a strong profile in dealing with hard optimization problems. The supervised learning algorithms have shown ...