​[[{“value”:” AI and ML are expanding at a remarkable rate, which is marked by the evolution of numerous specialized subdomains. Recently, two core branches that have become central in academic research and industrial applications are Generative AI and Predictive AI. While they share foundational principles… Read More »Generative AI versus Predictive AI Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models rely heavily on open datasets to train, which poses significant legal, technical, and ethical challenges in managing such datasets. There are uncertainties around the legal implications of using data based on varying copyright laws and changing regulations regarding safe usage. The… Read More »Step Towards Best Practices for Open Datasets for LLM Training Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Traditional psychological counseling, often conducted in person, remains limited to individuals actively seeking help for psychological concerns. In contrast, online automated counseling presents a viable option for those hesitant to pursue therapy due to stigma or shame. Cognitive Behavioral Therapy (CBT), a widely practiced… Read More »AutoCBT: An Adaptive Multi-Agent Framework for Enhanced Automated Cognitive Behavioral Therapy Sana Hassan Artificial Intelligence Category – MarkTechPost

​Machine learning continues to provide benefits of all sorts that have become integrated within society, meaning that a career in machine learning will only become more important with time. Machine learning continues to provide benefits of all sorts that have become integrated within society, meaning that… Read More »Future-Proof Your Machine Learning Career in 2025 Cornellius Yudha Wijaya MachineLearningMastery.com

​[[{“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