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​[[{“value”:” VLMs have shown notable progress in perception-driven tasks such as visual question answering (VQA) and document-based visual reasoning. However, their effectiveness in reasoning-intensive tasks remains limited due to the scarcity of high-quality, diverse training datasets. Existing multimodal reasoning datasets have several shortcomings: some focus… Read More »VisualWebInstruct: A Large-Scale Multimodal Reasoning Dataset for Enhancing Vision-Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation learning is a growing field that seeks to capture the underlying geometric properties of data by embedding it in hyperbolic, spherical, or mixed-curvature product… Read More »This AI Paper from Columbia University Introduces Manify: A Python Library for Non-Euclidean Representation Learning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become an essential part of many applications, from digitizing documents to extracting information from scanned images.… Read More »A Coding Guide to Build an Optical Character Recognition (OCR) App in Google Colab Using OpenCV and Tesseract-OCR Asif Razzaq Artificial Intelligence Category – MarkTechPost

​The transformers library is a Python library that provides a unified interface for working with different transformer models. The transformers library is a Python library that provides a unified interface for working with different transformer models.  Read More  

​[[{“value”:” Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static… Read More »Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights Laks Sundararajan AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Getting Started with Python and FastAPI: A Complete Beginner’s Guide Introduction to FastAPI Python What Is FastAPI? Core Features Key Benefits of FastAPI High Performance Reduced Development Time Fewer Bugs Scalability Ease of Use Setting Up FastAPI Installing FastAPI and… Read More »Getting Started with Python and FastAPI: A Complete Beginner’s Guide Hector Martinez PyImageSearch

​Large language models (LLMs) are a big step forward in artificial intelligence. Large language models (LLMs) are a big step forward in artificial intelligence.  Read More  

​[[{“value”:” Artificial Neural Networks (ANNs) have revolutionized computer vision with great performance, but their “black-box” nature creates significant challenges in domains requiring transparency, accountability, and regulatory compliance. The opacity of these systems hampers their adoption in critical applications where understanding decision-making processes is essential. Scientists… Read More »Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality applications. Despite advancements in deep learning, many existing stereo-matching models require domain-specific fine-tuning to… Read More »This AI Paper Introduces FoundationStereo: A Zero-Shot Stereo Matching Model for Robust Depth Estimation Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern VLMs struggle with tasks requiring complex visual reasoning, where understanding an image alone is insufficient, and deeper interpretation is needed. While recent advancements in LLMs have significantly improved text-based reasoning, similar progress in the visual domain remains limited. Existing VLMs often fail when… Read More »Groundlight Research Team Released an Open-Source AI Framework that Makes It Easy to Build Visual Reasoning Agents (with GRPO) Sana Hassan Artificial Intelligence Category – MarkTechPost