LingBot-Video: A Video Generator for Robotics

Using Vision-Language Models to Segment Robot Demonstration Videos into Subtask Annotations

This article presents a benchmark and field report on using Vision-Language Models (VLMs) to segment robot demonstration videos and egocentr

Kinetix Unveils Kamo-1: A 3D-Conditioned AI Video Generation Model with Physical Grounding

Kinetix introduces Kamo-1, a 3D-conditioned video generation model that brings physical grounding and precise control to AI video generation

Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed Hybrid MoE LLM for Efficient Interactive Deployment

This paper presents Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of the Nemotron-3-Super hybrid Mixture-of-Experts (MoE) large langu

Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed Hybrid MoE LLM for Efficient Interactive Deployment

This paper presents Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of the Nemotron-3-Super hybrid Mixture-of-Experts (MoE) large langu

ByteDance's Seedance 2.0 Shows Progress in AI Video Generation but Still Has Limitations

The article discusses ByteDance's Seedance 2.0, a new AI video generation model that shows impressive improvements in creating realistic vid

Skill-MAS: A Meta-Skill Approach to Improving Multi-Agent Systems Without Retraining

Skill-MAS proposes a novel approach to LLM-based automatic Multi-Agent Systems (MAS) generation that bridges the gap between inference-time

Skill-MAS: A Meta-Skill Approach to Improving Multi-Agent Systems Without Retraining

Skill-MAS proposes a novel approach to LLM-based automatic Multi-Agent Systems (MAS) generation that bridges the gap between inference-time

Bridging Cinematic Principles and Generative AI for Automated Film Generation