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Research#Robotics🔬 ResearchAnalyzed: Jan 10, 2026 10:13

CoVAR: Novel AI Approach Generates Robot Actions and Video

Published:Dec 17, 2025 23:16
1 min read
ArXiv

Analysis

This research explores a novel method for robotic manipulation by generating both video and actions using a multi-modal diffusion model. The co-generation approach holds promise for more robust and efficient robotic systems.
Reference

“Co-generation of Video and Action for Robotic Manipulation via Multi-Modal Diffusion is the core concept.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Dec 25, 2025 12:01

PLAID: Generating Proteins with Latent Diffusion and Protein Folding Models

Published:Apr 8, 2025 10:30
1 min read
Berkeley AI

Analysis

This article introduces PLAID, a novel multimodal generative model that leverages the latent space of protein folding models to simultaneously generate protein sequences and 3D structures. The key innovation lies in addressing the multimodal co-generation problem, which involves generating both discrete sequence data and continuous structural coordinates. This approach overcomes limitations of previous models, such as the inability to generate all-atom structures directly. The model's ability to accept compositional function and organism prompts, coupled with its trainability on large sequence databases, positions it as a promising tool for real-world applications like drug design. The article highlights the importance of moving beyond structure prediction towards practical applications.
Reference

“In PLAID, we develop a method that learns to sample from the latent space of protein folding models to generate new proteins.”

PermalinkBerkeley AI