Skip to content Skip to sidebar Skip to footer

NVIDIA AI Research Proposes Language Instructed Temporal-Localization Assistant (LITA), which Enables Accurate Temporal Localization Using Video LLMs

Large Language Models (LLMs) have proven their impressive instruction-following capabilities, and they can be a universal interface for various tasks such as text generation, language translation, etc. These models can be extended to multimodal LLMs to process language and other modalities, such as Image, video, and audio. Several recent works introduce models that specialize in…

Read More

KAIST Researchers Introduce Quatro++: A Robust Global Registration Framework Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM

The problem of sparsity and degeneracy issues in LiDAR SLAM has been addressed by introducing Quatro++, a robust global registration framework developed by researchers from the KAIST. This method has surpassed previous success rates and improved loop closing accuracy and efficiency through ground segmentation. Quatro++ exhibits significantly superior loop closing performance, resulting in higher quality…

Read More

How Enterprises Are Leveraging Generative AI for Innovation and Growth | by Ashely John | Mar, 2024

Entrepreneurs are always looking for new and creative ways to keep ahead of the competition in the advancement of AI technology. One such innovative technique that has attracted a lot of interest is called generative artificial intelligence (also known as generative AI). Beyond conventional problem-solving, this revolutionary area of AI is increasingly propelling innovation and…

Read More