Startup company Meshy has launched its AI-driven 3D modeling tool Meshy-4, achieving significant improvements in model geometry and workflow after 16 months of development, greatly enhancing the creative efficiency of designers and developers. Meshy-4 excels in the field of AI-generated 3D models, producing smoother surfaces and clearer geometric details, approaching professional use standards. Its innovative text-to-3D model generation process is divided into two stages: modeling and texturing, increasing user control over the final output and paving the way for future specialized features.

The MIT Computer Science and Artificial Intelligence Laboratory has demonstrated an innovative method for training home robots by utilizing iPhone scans of users' home environments, uploading the data to a simulated environment for training. This method aims to address the limitations of traditional robot training in adapting to complex home layouts, lighting, and object placement. Through simulated training, robots can practice millions of times in a virtual world without any real-world loss, significantly enhancing their adaptability. The construction of the environmental database not only strengthens the robots' performance in known environments but also prepares them to face...

Google has released the base world model Genie, which features 11 billion parameters and can generate interactive virtual environments. Genie trains without action labels, autonomously identifying different action features and patterns in videos. Genie can learn fine-grained control and simulate a variety of potential actions. It generates video in a cartoon style and can simulate robotic movements and deformable objects, leaning more towards animated graphics compared to Sora.