March 4, 2024, 12:30 p.m. | Dhanshree Shripad Shenwai

MarkTechPost www.marktechpost.com

Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors, have been the focus of recent research in artificial multimodal representation learning. Nevertheless, the tactile modality is still mostly unexplored when it comes to multimodal […]


The post UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment appeared first on MarkTechPost.

agents ai shorts alignment applications artificial artificial intelligence audio berkeley computer vision data dataset design editors pick focus forms language multimodal perception representation representation learning research researchers robot staff tech news technology uc berkeley vision

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US