​[[{“value”:” In artificial intelligence and natural language processing, long-context reasoning has emerged as a crucial area of research. As the volume of information that needs to be processed grows, machines must be able to synthesize and extract relevant data from massive datasets efficiently. This goes… Read More »Michelangelo: An Artificial Intelligence Framework for Evaluating Long-Context Reasoning in Large Language Models Beyond Simple Retrieval Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Computational reproducibility poses a significant challenge in scientific research across various fields, including psychology, economics, medicine, and computer science. Despite the fundamental importance of reproducing results using provided data and code, recent studies have exposed severe shortcomings in this area. Researchers face numerous obstacles… Read More »CORE-Bench: A Benchmark Consisting of 270 Tasks based on 90 Scientific Papers Across Computer Science, Social Science, and Medicine with Python or R Codebases Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Federated Learning (FL) is a technique that allows Machine Learning models to be trained on decentralized data sources while preserving privacy. This method is especially helpful in industries like healthcare and finance, where privacy issues prevent data from being centralized. However, there are big… Read More »HERL (Homomorphic Encryption Reinforcement Learning): A Reinforcement Learning-based Approach that Uses Q-Learning to Dynamically Optimize Encryption Parameters Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Chain-of-thought (CoT) prompting has emerged as a popular technique to enhance large language models’ (LLMs) problem-solving abilities by generating intermediate steps. Despite its better performance in mathematical reasoning, CoT’s effectiveness in other domains remains questionable. Current research is focused more on mathematical problems, possibly… Read More »Chain-of-Thought (CoT) Prompting: A Comprehensive Analysis Reveals Limited Effectiveness Beyond Math and Symbolic Reasoning Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has given rise to powerful models capable of performing diverse tasks. Two of the most impactful advancements in this space are Retrieval-Augmented Generation (RAG) and Agents, which play distinct roles in improving AI-driven applications. However, the emerging concept of Agentic RAG… Read More »RAG, AI Agents, and Agentic RAG: An In-Depth Review and Comparative Analysis of Intelligent AI Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer models have revolutionized sequence modeling tasks, but their standard attention mechanism faces significant challenges when dealing with long sequences. The quadratic complexity of softmax-based standard attention hinders the efficient processing of extensive data in fields like video understanding and biological sequence modeling. While… Read More »Gated Slot Attention: Advancing Linear Attention Models for Efficient and Effective Language Processing Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has significantly enhanced complex reasoning tasks, particularly in specialized domains such as mathematics. Large Language Models (LLMs) have gained attention for their ability to process large datasets and solve intricate problems. The mathematical reasoning capabilities of these models have vastly improved over… Read More »ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Whale species produce a wide range of vocalizations, from very low to very high frequencies, which vary by species and location, making it difficult to develop models that automatically classify multiple whale species. By analyzing whale vocalizations, researchers can estimate population sizes, track changes… Read More »Google AI Researchers Introduce a New Whale Bioacoustics Model that can Identify Eight Distinct Species, Including Multiple Calls for Two of Those Species Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine Learning in Membrane Science:ML significantly transforms natural sciences, particularly cheminformatics and materials science, including membrane technology. This review focuses on current ML applications in membrane science, offering insights from both ML and membrane perspectives. It begins by explaining foundational ML algorithms and design… Read More »Advancing Membrane Science: The Role of Machine Learning in Optimization and Innovation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges. Specifically, as models grow larger, they require vast computational resources… Read More »Microsoft Releases GRIN MoE: A Gradient-Informed Mixture of Experts MoE Model for Efficient and Scalable Deep Learning Nikhil Artificial Intelligence Category – MarkTechPost