Moving beyond static code prediction, the model learns an internal world model of computational environments for more ...

In recent years, artificial intelligence has been shaped by the race to build ever larger models. Each new release has been measured by the number of parameters, the size of the training data, and the ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

This approach combined: (1) supervised machine learning for text classification, (2) comparative topic modeling with both theory-driven and data-driven Latent Dirichlet Allocation (LDA) to identify ...

Abstract: As a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements. However, the short and unstructured ...

OpenAI on Thursday announced the release of GPT-5, its most advanced AI model, a culmination of more than two years of development that saw a series of setbacks and delays. Interacting with the new ...

Abstract: Topic modeling is an unsupervised learning technique, that is extensively used for discovering latent topics in huge text corpora. However, existing models often fall short in cross-lingual ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Objective: To study the occurrence of lymph node metastasis in patients with papillary thyroid carcinoma (PTC) and construct a predictive model to assess its predictive performance. Methods: We ...

Introduction: Online communities provide valuable, peer-led spaces for discussing mental health issues, offering support that can complement traditional therapy. In this study, we adopt an ...