Speaking News You Can USE!
VideoPrism: A foundational visual encoder for video understanding
Posted by Long Zhao, Senior Research Scientist, and Ting Liu, Senior Staff Software Engineer, Google Research An astounding number of videos are available on the Web, covering a variety of content from everyday moments people share to historical moments to scientific...
Unlocking the Future of Mathematics with AI: Meet InternLM-Math, the Groundbreaking Language Model for Advanced Math Reasoning and Problem-Solving
The integration of artificial intelligence in mathematical reasoning marks a pivotal advancement in our quest to understand and utilize the very language of the universe. Mathematics, a discipline that stretches from the rudimentary principles of arithmetic to the...
Microsoft Introduces Multilingual E5 Text Embedding: A Step Towards Multilingual Processing Excellence
The primary challenge in text embeddings in Natural Language Processing (NLP) lies in developing models that can perform equally well across different languages. Traditional models are often English-centric, limiting their efficacy in multilingual contexts. This gap...
Researchers from UT Austin and AWS AI Introduce a Novel AI Framework ‘ViGoR’ that Utilizes Fine-Grained Reward Modeling to Significantly Enhance the Visual Grounding of LVLMs over Pre-Trained Baselines
Integrating natural language understanding with image perception has led to the development of large vision language models (LVLMs), which showcase remarkable reasoning capabilities. Despite their progress, LVLMs often encounter challenges in accurately anchoring...
CREMA by UNC-Chapel Hill: A Modular AI Framework for Efficient Multimodal Video Reasoning
In artificial intelligence, integrating multimodal inputs for video reasoning stands as a frontier, challenging yet ripe with potential. Researchers increasingly focus on leveraging diverse data types – from visual frames and audio snippets to more complex 3D point...
Huawei Researchers Introduce a Novel and Adaptively Adjustable Loss Function for Weak-to-Strong Supervision
The progress and development of artificial intelligence (AI) heavily rely on human evaluation, guidance, and expertise. In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as...





