Thu.Jun 26, 2025

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Automate Data Quality Reports with n8n: From CSV to Professional Analysis

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Automate Data Quality Reports with n8n: From CSV to Professional Analysis Analyze any CSV dataset from a URL and generate professional quality reports with n8n By Vinod Chugani on June 26, 2025 in Data Science Image by Author | ChatGPT The Data Quali

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7 AI Agent Frameworks for Machine Learning Workflows in 2025

Machine Learning Mastery

Machine learning practitioners spend countless hours on repetitive tasks: monitoring model performance, retraining pipelines, data quality checks, and experiment tracking.

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Muvera: Making multi-vector retrieval as fast as single-vector search

Hacker News

Jump to Content Research Research Who we are Back to Who we are menu Defining the technology of today and tomorrow. Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more Philosophy People Our researchers drive advancements in computer science through both fundamental and applied research.

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Anthropic trashed millions of books to train its AI

Dataconomy

Anthropic physically scanned millions of print books to train its AI assistant, Claude, subsequently discarding the originals, as revealed in court documents, according to Ars Tecnica. This extensive operation, detailed in a legal decision , involved the acquisition and destructive digitization of these texts. The company’s approach to data acquisition reflects a broader industry demand for high-quality textual information.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Introducing Gemma 3n

Hacker News

Learn how to build with Gemma 3n, a mobile-first architecture, MatFormer technology, Per-Layer Embeddings, and new audio and vision encoders.

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Arc Institute Launches Virtual Cell Challenge to Accelerate AI Model Development

Flipboard

The open benchmark competition will evaluate the ability of AI-powered virtual cell models to generalize to new cell contexts for therapeutic applications.

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More Trending

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Advancing Egocentric Video Question Answering with Multimodal Large Language Models

Machine Learning Research at Apple

Egocentric Video Question Answering (QA) requires models to handle long-horizon temporal reasoning, first-person perspectives, and specialized challenges like frequent camera movement. This paper systematically evaluates both proprietary and open-source Multimodal Large Language Models (MLLMs) on QaEgo4Dv2—a refined dataset of egocentric videos derived from QaEgo4D.

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Building Production-Ready Observability for vLLM

IBM Data Science in Practice

Monitor, trace, and visualize vLLM using OpenTelemetry, Prometheus, Grafana, and Jaeger for robust, scalable, and LLM operations. Picture this: You’ve just deployed a shiny new Large Language Model using vLLM, generating responses faster than you ever imagined. But then, during peak traffic, something goes wrong. Responses slow to a crawl, costs spiral out of control, and you’re left scrambling to figure out what happened.

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AI Makes Research Easy. Maybe Too Easy.

Flipboard

A study finds that people who use ‘large language models’ to research topics had a weaker understanding of those topics afterward ChatGPT and other “large language models” promise to make learning easier than ever.

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From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating Mobile UI Operation Impacts

Machine Learning Research at Apple

With advances in generative AI, there is increasing work towards creating autonomous agents that can manage daily tasks by operating user interfaces (UIs). While prior research has studied the mechanics of how AI agents might navigate UIs and understand UI structure, the effects of agents and their autonomous actions—particularly those that may be risky or irreversible—remain under-explored.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Vultr Releases Study on AI Maturity and Competitive Advantage

insideBIGDATA

WEST PALM BEACH, Fla. — Cloud infrastructure company Vultr released its annual AI maturity report, Navigating the Path to AI Success, that examines how leading organizations are leveraging artificial intelligence (AI) to drive superior business outcomes.

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Training 10,000 Anomaly Detection Models on One Billion Records with Explainable Predictions

databricks

The Power of Anomaly Detection Across Industry Anomaly detection is a crucial technique for identifying unusual patterns that could signal potential problems or opportunities.

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Duke innovates on implementing and assessing AI in health spaces

Flipboard

As artificial intelligence enters the healthcare space, Duke University researchers are working to make sure their application is safe and fair.

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Palantir and The Nuclear Company Partner on Platform to Scale Nuclear Deployment

insideBIGDATA

DENVER — Palantir Technologies Inc. (NASDAQ: PLTR) saw its stock hit record highs today after announcing a product partnership with The Nuclear Company, a builder of nuclear power plants in the U.S. The news comes as demand for clean power escalates from data centers as AI factories are planned for construction in the U.S.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Google’s Gemini now lives in your terminal

Dataconomy

Google announced its open-source Gemini CLI today, providing natural language command execution within developer terminals, powered by Google’s Gemini Pro 2.5. The Gemini CLI offers a free usage tier, which includes 60 model requests per minute and a daily limit of 1,000 requests. Google established this 1,000-request limit by first assessing the usage patterns of its internal developers and subsequently doubling that observed frequency.

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7 Popular LLMs Explained in 7 Minutes

Flipboard

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Popular LLMs Explained in 7 Minutes Get a quick overview of GPT, BERT, LLaMA, and more! By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on June 26, 2025 in Language Models Image by Author | Canva We use large language models in

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Meta wins AI copyright fight with authors

Dataconomy

A federal judge in California ruled in favor of Meta regarding a lawsuit initiated by 13 book authors, including Sarah Silverman, concerning the alleged unauthorized use of their copyrighted works for training artificial intelligence models. Federal Judge Vince Chhabria issued a summary judgment , which allowed for a judicial decision without a jury, determining that Meta’s AI model training, in this specific instance, conformed to the “fair use” doctrine of copyright law, ther

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10 Stackable Credentials To Stand Out In Today’s AI-Driven Job Market

Flipboard

In today’s career landscape, where AI is transforming industries at lightning speed, education is no longer a one-and-done proposition. The traditional four-year degree still has value, but for many workers, it’s no longer the only pathway to career advancement.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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WhatsApp will now summarize your missed chats

Dataconomy

Meta announced on the integration of an AI-powered summaries feature into WhatsApp, leveraging Meta AI to summarize unread chat messages for individual users. The functionality builds upon a foundational AI technology released by Meta in April 2025. This earlier development enabled the implementation of AI features without compromising the platform’s encryption protocols or user privacy.

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If I Could Buy Only 1 AI Stock Over the Next Year, Nvidia Would Be It. Here's the Key Reason.

Flipboard

Nvidia (NASDAQ: NVDA) CEO Jensen Huang has been defining how the future of artificial intelligence (AI) will evolve. New terms like "sovereign AI" and "AI factories" are being splashed all over business news sites. But what do they really mean?

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AlphaGenome reshapes how scientists interpret mutations

Dataconomy

A new artificial intelligence tool, AlphaGenome , has been introduced to predict how DNA sequence variations impact gene regulation, now available via API for non-commercial research. The genome functions as the cellular instruction manual, containing the complete set of DNA that directs an organism’s appearance, function, growth, and reproduction.

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Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data

AWS Machine Learning Blog

The successful deorbit, descent, and landing of spacecraft on the Moon requires precise control and monitoring of vehicle dynamics. Anomaly detection provides a unique utility for identifying important states that might represent vehicle behaviors of interest. By producing unique vehicle behavior points, critical spacecraft system states can be identified to be more appropriately addressed and potentially better understood.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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In just 3 months, CoreWeave CEO, once a crypto-mining bro, becomes a deca-billionaire

Flipboard

CoreWeave co-founder and CEO Michael Intrator’s net worth has skyrocketed to about $10 billion in the three months since the AI firm went public, Bloomberg reports. His company’s debut was both the biggest tech IPO so far of 2025 – raising $1.

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Claude’s new feature lets users design AI tools and run them instantly

Dataconomy

Anthropic is introducing a beta feature within its Claude AI chatbot, enabling users to develop AI-powered applications directly inside the platform. This new capability expands upon the existing Artifacts feature, which was launched last year. The company stated in a blog post that users can initiate app development within the Claude application by activating this newly available interactive functionality.

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Book authors made the wrong arguments in Meta AI training case, judge says

Flipboard

Judges clash over "schoolchildren" analogy in key AI training rulings.

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Innovation Meets Intelligence: Announcing the Winners of the Built-On Databricks Startup Challenge

databricks

After months of innovation, collaboration and competition, we are thrilled to unveil the winners Built-On Databricks Startup Challenge!

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Judge: Pirate libraries may have profited from Meta torrenting 80TB of books

Flipboard

Meta may defeat authors’ torrenting claim due to lack of evidence.

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Empiricism

Dataconomy

Empiricism stands as a key pillar in the study of knowledge, influencing a variety of disciplines from science to philosophy. At its core, it stresses the importance of experience and observation in understanding the world around us. By relying on sensory data and empirical research, practitioners can draw conclusions that are grounded in reality rather than abstract reasoning or intuition.

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The Violinist Who Fell in Love With Machine Learning

Flipboard

Music and engineering might seem like career paths that are almost diametrically opposed. But for Javier Orman the transition from professional violinist to a machine learning engineer at LinkedIn was a surprisingly natural one. Growing up in Montevideo, Uruguay, Orman excelled at both music and math, and he double-majored in the subjects at college.

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Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use

AWS Machine Learning Blog

Generative AI is revolutionizing industries by streamlining operations and enabling innovation. While textual chat interactions with GenAI remain popular, real-world applications often depend on structured data for APIs, databases, data-driven workloads, and rich user interfaces. Structured data can also enhance conversational AI, enabling more reliable and actionable outputs.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri