Abstract: This study uses the BERTopic model, which is an advanced natural language processing (NLP) technology. The method combines BERT embedding for doing topic analysis. Our data source adopots ...
Abstract: In today’s information-rich society, the rapid dissemination of news content across digital platforms plays a pivotal role in shaping public perception and discourse, yet they remain ...
📢 September 25, 2025 – Important bug fix related to dataset preprocessing and handling unseen motions. If you are working with either, please pull the latest commits and rerun the preprocessing ...
Last week, OpenAI managed to stop ChatGPT from talking about goblins all the time. This week, there's a whole new model for users to play with. The company announced in a blog post on Tuesday that ...
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I thought you needed advanced math to build machine learning models, but I was wrong
Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math knowledge.
Predictive modeling in archaeological site location combines statistical and computational techniques with spatial analysis to estimate the likelihood of undiscovered cultural heritage across diverse ...
Multiscale modelling of material behaviour integrates descriptions of matter from the atomic to the macroscopic scale, encompassing quantum mechanical calculations, atomistic simulations, mesoscale ...
RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...
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