​[[{“value”:” The capacity of platooning technology to precisely control cars, optimize traffic flow, and increase energy economy is well known. Platooning reduces aerodynamic drag, boosts fuel efficiency, and expands road capacity by enabling vehicles to move in close proximity and in unison. However, a number… Read More »Optimizing Large-Scale Mixed Platoons: A Nested Graph Reinforcement Learning Approach for Enhanced Decision-Making Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative artificial intelligence (AI), particularly Retrieval Augmented Generation (RAG) solutions, are rapidly demonstrating their vast potential to revolutionize enterprise operations. RAG models combine the strengths of information retrieval systems with advanced natural language generation, enabling more contextually accurate and informative outputs. From automating customer… Read More »Accuracy evaluation framework for Amazon Q Business Julia Hu AWS Machine Learning Blog

​[[{“value”:” Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. Did you know that for every eight hours that office-based physicians have scheduled with patients, they spend more than five hours in the EHR? As a… Read More »Elevate healthcare interaction and documentation with Amazon Bedrock and Amazon Transcribe using Live Meeting Assistant Wrick Talukdar AWS Machine Learning Blog

​[[{“value”:” Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. Amazon DataZone allows you to create and manage data zones, which are virtual data lakes that store… Read More »Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone Aparajithan Vaidyanathan AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Kristina Olesova, Zdenko Esetok, and Selimcan akar from Accenture. In today’s data-driven world, organizations often face the challenge of extracting structured information from unstructured PDF documents. These PDFs can contain a myriad of elements, such as images, tables, headers,… Read More »Accelerate performance using a custom chunking mechanism with Amazon Bedrock Kristin Olesova AWS Machine Learning Blog

​[[{“value”:” Developers of generative AI typically face a tradeoff between model size and accuracy. But a new language model released by NVIDIA delivers the best of both, providing state-of-the-art accuracy in a compact form factor. Mistral-NeMo-Minitron 8B — a miniaturized version of the open Mistral… Read More »Lightweight Champ: NVIDIA Releases Small Language Model With State-of-the-Art Accuracy Kari Briski – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Process mining is a part of data science concerned with analyzing event logs produced by information systems to learn about business processes. This paper addresses process mining techniques, which involve process discovery. All these are very important in organizations, especially in workflow optimization and… Read More »This AI Paper Proposes Utilizing the AI-Based Agents Workflow (AgWf) Paradigm to Enhance the Effectiveness of Process Mining (PM) on LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Logs provide important insights that are frequently the earliest signs of system problems, making them an essential tool for program maintenance and failure diagnostics. These logs must be effectively parsed for automated log analysis tasks like anomaly identification, troubleshooting, and root cause investigation. The… Read More »HELP (Hierarchical Embeddings-based Log Parser): A Semantic Embeddings-based Framework for Real-Time Log Parsing Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep generative models learn continuous data representations from a limited set of training samples, with global metrics like Fréchet Inception Distance (FID) often used to evaluate their performance. However, these models may perform inconsistently across different regions of the learned manifold, especially in foundation… Read More »Geometry-Guided Self-Assessment of Generative AI Models: Enhancing Diversity, Fidelity, and Control Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data visualizations (DVs) have become a common practice in the big data era, utilized by various applications and institutions to convey insights from massive raw data. However, creating suitable DVs remains a challenging task, even for experts, as it requires visual analysis expertise and… Read More »DataVisT5: A Powerful Pre-Trained Language Model for Seamless Data Visualization Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost