​[[{“value”:” AI systems integrating natural language processing with database management can unlock significant value by enabling users to query custom data sources using natural language. Current methods like Text2SQL and Retrieval-Augmented Generation (RAG) are limited, handling only a subset of queries: Text2SQL addresses queries translatable… Read More »Table-Augmented Generation (TAG): A Unified Approach for Enhancing Natural Language Querying over Databases Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” News publishers want to provide a personalized and informative experience to their readers, but the short shelf life of news articles can make this quite difficult. In news publishing, articles typically have peak readership within the same day of publication. Additionally, news publishers frequently… Read More »Provide a personalized experience for news readers using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock Joydeep Dutta AWS Machine Learning Blog

​Participants and organizers of the TriCon AI Workshop: (L-R) Travis Wagner (Trinnex), Alana Gildner (BV), Yudu (Sonia) Wu (WSP), Madeleine Driscoll (Hazen and Sawyer), Craig Daley (City of Baltimore), John Smith (Haley Ward), Brian Ball (VA Engineering), David Gisborn (DC Water), and Davar Ardalan (TulipAI).… Read More »Demystifying AI in the Water Industry Davar Ardalan Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” RAG systems, which integrate retrieval mechanisms with generative models, have significant potential applications in tasks such as question-answering, summarization, and creative writing. By enhancing the quality and informativeness of generated text, RAG can improve user experience, drive innovation, and create new opportunities in industries… Read More »RagBuilder: A Toolkit that Automatically Finds the Best Performing RAG Pipeline for Your Data and Use-Case Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The demand for processing power and bandwidth has increased exponentially due to the rapid advancements in Large Language Models (LLMs) and Deep Learning. The complexity and size of these models, which need enormous quantities of data and computer power to train properly, are the… Read More »DeepSeek-AI Introduces Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in AI and deep learning have revolutionized 3D scene generation, impacting various fields, from entertainment to virtual reality. However, existing methods face challenges such as semantic drift during scene expansion, limitations in panorama representations, and difficulties managing complex scene hierarchies. These issues… Read More »LayerPano3D: A Novel AI Framework that Leverages Multi-Layered 3D Panorama for Full-View Consistent and Free Exploratory Scene Generation from Text Prompt Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, machine learning has experienced a profound transformation with the emergence of LLMs and new techniques that improved the domain’s state of the art. Most of these advancements have mainly been initially revealed in research papers, which have introduced new techniques while… Read More »5 Influential Machine Learning Papers You Should Read Josep Ferrer MachineLearningMastery.com

​[[{“value”:” Zyphra has announced the release of Zamba2-mini 1.2B, a cutting-edge small language model designed specifically for on-device applications. This new model represents a landmark achievement in AI, combining state-of-the-art performance with remarkable efficiency, all within a compact memory footprint. The release of Zamba2-mini is… Read More »Zyphra Unveils Zamba2-mini: A State-of-the-Art Small Language Model Redefining On-Device AI with Unmatched Efficiency and Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recommender systems have become powerful tools for personalized suggestions that automatically learn the users’ preferences towards diverse categories of items, ranging from streams to points of interest. However, their widespread use has raised concerns about trustworthiness, and fairness. To address unfairness in recommendations, algorithms… Read More »Advancing Fairness in Graph Collaborative Filtering: A Comprehensive Framework for Theoretical Formalization and Enhanced Mitigation Techniques Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Need for a Comprehensive Soil Quality Index: The absence of a universal Soil Quality Index (SQI) poses a significant challenge to improving crop productivity and environmental sustainability. Traditional SQIs, which often rely solely on physicochemical properties, are slow to detect changes in soil… Read More »Advancing Agricultural Sustainability: The Role of AI in Developing a Comprehensive Soil Quality Index Sana Hassan Artificial Intelligence Category – MarkTechPost