​[[{“value”:” There has been a recent uptick in the development of general-purpose multimodal AI assistants capable of following visual and written directions, thanks to the remarkable success of Large Language Models (LLMs). By utilizing the impressive reasoning capabilities of LLMs and information found in huge… Read More »This AI Paper from China Introduces Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In urban development and environmental studies, accurate and efficient building data extraction from satellite imagery is a cornerstone for myriad applications. This endeavor, while technologically advanced, has faced significant hurdles due to the intricate and variable nature of urban landscapes, especially across China’s diverse… Read More »Unveiling the GaoFen-7 Building Dataset: A New Horizon in Satellite-Based Urban and Rural Building Extraction Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the cutting-edge sphere of machine learning, manipulating and comprehending data within vast, high-dimensional spaces are formidable challenges. At the heart of numerous applications, from the nuanced realms of image and text analysis to the intricate networks of graph-based tasks, lies the endeavor to… Read More »Enabling Seamless Neural Model Interoperability: A Novel Machine Learning Approach Through Relative Representations Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has significantly advanced in developing systems that can interpret and respond to multimodal data. At the forefront of this innovation is Lumos, a groundbreaking multimodal question-answering system designed by researchers at Meta Reality Labs. Unlike traditional systems, Lumos distinguishes itself by its… Read More »Meta Reality Labs Introduce Lumos: The First End-to-End Multimodal Question-Answering System with Text Understanding Capabilities Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the rapid increase in the popularity of Artificial Intelligence (AI) and Large Language Models (LLMs), there has been a growing interest in augmenting the reasoning capabilities of LLMs to handle increasingly complex tasks. Existing methods, such as Chain-of-Thought and Self-Consistency, mostly function inside… Read More »A New AI Research Introduces a Unique Approach to Indirect Reasoning (IR) Using Contrapositive and Contradiction Ideas for Automated Reasoning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the past few years, generalist AI systems have shown remarkable progress in the field of computer vision and natural language processing and are widely used in many real-world settings, such as robotics, video generation, and 3D asset creation. Their capabilities lead to better… Read More »Meet BootsTAP: An Effective Method for Leveraging Large-Scale, Unlabeled Data to Improve TAP (Tracking-Any-Point) Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the vast world of artificial intelligence, developers face a common challenge – ensuring the reliability and quality of outputs generated by large language models (LLMs). The outputs, like generated text or code, must be accurate, structured, and aligned with specified requirements. These outputs… Read More »Meet Guardrails: An Open-Source Python Package for Specifying Structure and Type, Validating and Correcting the Outputs of Large Language Models (LLMs) Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Graph-based machine learning is undergoing a significant transformation, largely propelled by the introduction of Graph Neural Networks (GNNs). These networks have been pivotal in harnessing the complexity of graph-structured data, offering innovative solutions across various domains. Despite their initial success, traditional GNNs face critical… Read More »Cornell Researchers Introduce Graph Mamba Networks (GMNs): A General Framework for a New Class of Graph Neural Networks Based on Selective State Space Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Posted by Zheng Xu, Research Scientist, and Yanxiang Zhang, Software Engineer, Google Language models (LMs) trained to predict the next word given input text are the key technology for many applications [1, 2]. In Gboard, LMs are used to improve users’ typing experience by supporting… Read More »Advances in private training for production on-device language models Google AI Google AI Blog

​[[{“value”:” In the fast-paced world of technology, where innovation often outpaces human interaction, LAION and its collaborators at the ELLIS Institute Tübingen, Collabora, and the Tübingen AI Center are taking a giant leap towards revolutionizing how we converse with artificial intelligence. Their brainchild, BUD-E (Buddy… Read More »LAION Presents BUD-E: An Open-Source Voice Assistant that Runs on a Gaming Laptop with Low Latency without Requiring an Internet Connection Niharika Singh Artificial Intelligence Category – MarkTechPost