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​[[{“value”:” Home Table of Contents Implementing Huffman Encoding for Lossless Compression Lossy vs. Lossless Compression Lossy Compression Lossless Compression What Is Huffman Encoding? Frequency Analysis Build a Priority Queue Construct the Huffman Tree Generate Huffman Code Encode the Data Decode the Data Summary Citation Information… Read More »Implementing Huffman Encoding for Lossless Compression Puneet Mangla PyImageSearch

​[[{“value”:” Reconstructing unmeasured causal drivers of complex time series from observed response data represents a fundamental challenge across diverse scientific domains. Latent variables, including genetic regulators or environmental factors, are essential to determining a system’s dynamics but are rarely measured. Challenges with current approaches arise… Read More »SHREC: A Physics-Based Machine Learning Approach to Time Series Analysis Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative models have revolutionized fields like language, vision, and biology through their ability to learn and sample from complex data distributions. While these models benefit from scaling up during training through increased data, computational resources, and model sizes, their inference-time scaling capabilities face significant… Read More »Google AI Proposes a Fundamental Framework for Inference-Time Scaling in Diffusion Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Swarm is an innovative open-source framework designed to explore the orchestration and coordination of multi-agent systems. It is developed and managed by the OpenAI Solutions team, and it provides a lightweight, ergonomic, and educational environment for developers to learn and experiment with agent-based systems.… Read More »Swarm: A Comprehensive Guide to Lightweight Multi-Agent Orchestration for Scalable and Dynamic Workflows with Code Implementation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-language models (VLMs) play a crucial role in multimodal tasks like image retrieval, captioning, and medical diagnostics by aligning visual and linguistic data. However, understanding negation in these models remains one of the main challenges. Negation is critical for nuanced applications, such as distinguishing… Read More »Researchers from MIT, Google DeepMind, and Oxford Unveil Why Vision-Language Models Do Not Understand Negation and Proposes a Groundbreaking Solution Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the most significant and advanced capabilities of a multimodal large language model is long-context video modeling, which allows models to handle movies, documentaries, and live streams spanning multiple hours. However, despite the commendable advancements made in video comprehension in LLMs, including caption… Read More »Researchers from China Develop Advanced Compression and Learning Techniques to process  Long-Context Videos at 100 Times Less Compute Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have made significant strides in automated writing, particularly in tasks like open-domain long-form generation and topic-specific reports. Many approaches rely on Retrieval-Augmented Generation (RAG) to incorporate external information into the writing process. However, these methods often fall short due to fixed retrieval strategies,… Read More »OmniThink: A Cognitive Framework for Enhanced Long-Form Article Generation Through Iterative Reflection and Expansion Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Scaling the size of large language models (LLMs) and their training data have now opened up emergent capabilities that allow these models to perform highly structured reasoning, logical deductions, and abstract thought. These are not incremental improvements over previous tools but mark the journey… Read More »This AI Paper Explores Reinforced Learning and Process Reward Models: Advancing LLM Reasoning with Scalable Data and Test-Time Scaling Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Video diffusion models have emerged as powerful tools for video generation and physics simulation, showing promise in developing game engines. These generative game engines function as video generation models with action controllability, allowing them to respond to user inputs like keyboard and mouse interactions.… Read More »GameFactory: Leveraging Pre-trained Video Models for Creating New Game Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal data, including videos, but they struggle with the massive data and high processing demands of… Read More »Meet OmAgent: A New Python Library for Building Multimodal Language Agents Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost