At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Abstract: Topic models are widely used across various domains to effectively cluster text-based documents and reveal their underlying themes. However, representing these clustered topics using ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...

This repository implements a pipeline to store various data of files from a large unstructured dataset. These fields are used for topic modeling (wordclouds, based on low-dimensional versions of ...

Use topic modeling on News API data to spot rising themes faster than rivals and act before the market shifts. Clean your articles, pick an algorithm like LDA, tune the number of topics, and label ...

Meet the new DeepSeek, now with more government compliance. According to a report from Reuters, the popular large language model developed in China has a new version called DeepSeek-R1-Safe, ...

This defines the window in which risk communicators can pre-empt misinformation and economic anxiety. Topic modeling uncovered recurring themes of concern: avian flu culling, sharp egg-price hikes, ...

Abstract: Topic modeling is a crucial technique for extracting latent themes from unstructured text data, particularly valuable in analyzing survey responses. However, traditional methods often only ...