Several researchers have taken a broad view of scientific progress over the last 50 years and come to the same troubling conclusion: Scientific productivity is
Category: Updates
Introduction to Learning-Based Robotics Robotic control systems have made significant progress through methods that replace hand-coded instructions with data-driven learning. Instead of relying on explicit
Introduction to MDMs and Their Inefficiencies Masked Diffusion Models (MDMs) are powerful tools for generating discrete data, such as text or symbolic sequences, by gradually
LLMs and the Need for Scientific Code Control LLMs have rapidly evolved into complex natural language processors, enabling the development of agentic systems that manage
In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on signal processing. It combines Lilac’s
Challenges in Dexterous Hand Manipulation Data Collection Creating large-scale data for dexterous hand manipulation remains a major challenge in robotics. Although hands offer greater flexibility
Rare diseases impact some 400 million people worldwide, accounting for over 7,000 individual disorders, and most of these, about 80%, have a genetic cause. Notwithstanding
class IntelligentDataAnalyzer(BaseTool): name: str = “intelligent_data_analyzer” description: str = “Advanced data analysis tool that performs statistical analysis, machine learning clustering, outlier detection, correlation analysis, and
Creating Royalty-Free Background Music with AI Background music is essential in setting the right mood for any project—whether it’s a film, YouTube video, or podcast.
Tencent’s Hunyuan team has introduced Hunyuan-A13B, a new open-source large language model built on a sparse Mixture-of-Experts (MoE) architecture. While the model consists of 80