May, 2025

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Daily Habits of Top 1% Freelancers in Data Science

KDnuggets

Stop guessing and start applying the 5 daily habits that turn average freelancers into 6-figure earners.

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A Data Scientist’s Guide to Data Streaming

Flipboard

This guide introduces data streaming from a data science perspective. Well explain what it is, why it matters, and how to use tools like Apache Kafka, Apache Flink, and PyFlink to build real-time pipelines.

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When Good Data Is Scarce, Planning Beats Reinforcement Learning in AI Decision-Making

NYU Center for Data Science

Artificial intelligence often relies heavily on high-quality, abundant data to learn effectively. But a recent study led by CDS PhD Student Vlad Sobal and Wancong (Kevin) Zhang , a computer science PhD student at NYUs Courant Institute, shows that when good data is scarce or poor-quality, planning aheadrather than blindly following learned policiescan significantly outperform traditional reinforcement learningmethods.

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Is Gemini’s New Data Science Agent Useful? Here’s The Truth

Towards AI

Author(s): John Loewen, PhD Originally published on Towards AI. Testing Python code creation and distribution in Google Colab In Google Colab, Gemini makes it possible to go from a plain-text instruction to a functional, multi-step notebook without switching tools. In other words, you can now prompt a Jupyter notebook to write itself. This includes the full workflow of reading a dataset, cleaning it, filtering by year, and generating an interactive data visualization using Plotly (for example,

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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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Half of Data Scientists Report Using AI for Assisting with Coding

ODSC - Open Data Science

If you arent living under a rock, you have seen firsthand or secondhand how AI is rapidly transforming the way we learn, solve problems, and write code. For data professionals, the shift isnt theoreticalits practical, immediate, and measurable. In a recent ODSC community survey , we asked a simple question: What tasks do you rely on AI to assistwith?

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Unlocking Next-Gen Customer Experiences with Data Intelligence for Marketing

databricks

Today were announcing the launch of Data Intelligence for Marketing, combining the Databricks Data Intelligence Platform with out-of-the-box integrations to an ecosystem of leading marketing

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Accelerating AI Ambitions in the Nuclear Industry

databricks

Introduction Nuclear energy ranks among the worlds most regulated industries.

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4 Data Analytics Project To Impress Your Next Employer

KDnuggets

Add these 4 data analytic-based projects to your resume to land your next job.

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I used o3 to find a remote zeroday in the Linux SMB implementation

Hacker News

In this post I'll show you how I found a zeroday vulnerability in the Linux kernel using OpenAI's o3 model. I found the vulnerability with nothing more complicated than the o3 API - no scaffolding, no agentic frameworks, no tool use. Recently I've been auditing ksmbd for vulnerabilities.

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OpenAI pledges to publish AI safety test results more often

Flipboard

OpenAI is moving to publish the results of its internal AI model safety evaluations more regularly in what the outfit is saying is an effort to increase transparency.

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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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Microsoft’s ADeLe wants to give your AI a cognitive profile

Dataconomy

Modern AI models are advancing at breakneck speed, but the way we evaluate them has barely kept pace. Traditional benchmarks tell us whether a model passed or failed a test but rarely offer insights into why it performed the way it did or how it might fare on unfamiliar challenges. A new research effort from Microsoft and its collaborators proposes a rigorous framework that reimagines how we evaluate AI systems.

AI 127
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Custom Fine-Tuning for Domain-Specific LLMs

Machine Learning Mastery

Fine-tuning a large language model (LLM) is the process of taking a pre-trained model — usually a vast one like GPT or Llama models, with millions to billions of weights — and continuing to train it, exposing it to new data so that the model weights (or typically parts of them) get updated.

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Life beyond the leaderboard

DrivenData Labs

Organizations run AI competitions for a variety of reasons. They want to engage the expertise of a global community. They want to push the limits of available methods for their needs. They want to explore innovative approaches and surface new ideas. They want to benchmark the level of performance that can be achieved with their data. At the end of a competition, these organizations get a few things: Winning solutions, consisting of research code in a Github repository and often shared openly for

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10 Essential Linux File System Commands for Data Management

KDnuggets

In this article, you'll master 10 essential Linux file system commands. This guide provides helpful examples to make working with files easier.

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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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$20K Bounty Offered for Optimizing Rust Code in Rav1d AV1 Decoder

Hacker News

In March of 2023 we announced that we were starting work on a safer high performance AV1 decoder called rav1d, written in Rust. We partnered with Immunant to do the engineering work. By September of 2024 rav1d was basically complete and we learned a lot during the process. Today rav1d works wellit passes all the same tests as the dav1d decoder it is based on, which is written in C.

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College Professors Are Turning to ChatGPT to Generate Course Materials. One Student Noticed — and Asked for a Refund.

Flipboard

AI use in higher education is becoming more popular for students and professors. Ella Stapleton noticed in February that the lecture notes for her organizational behavior class at Northeastern University appeared to have been generated by ChatGPT.

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AI Inference: NVIDIA Reports Blackwell Surpasses 1000 TPS/User Barrier with Llama 4 Maverick

insideBIGDATA

NVIDIA said it has achieved a record large language model (LLM) inference speed, announcing that an NVIDIA DGX B200 node with eight NVIDIA Blackwell GPUs achieved more than 1,000tokens per second (TPS) per user on the 400-billion-parameter Llama 4 Maverick model.

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CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling

Machine Learning Research at Apple

Mixture-of-Experts (MoE) models are crucial for scaling model capacity while controlling inference costs. While integrating MoE into multimodal models like CLIP improves performance, training these models is notoriously challenging and expensive. We propose CLIP-Upcycling (CLIP-UP), an efficient alternative training strategy that converts a pre-trained dense CLIP model into a sparse MoE architecture.

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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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Enabling SSL for Database in IBM SPSS CaDS on Liberty Server — Post-Installation Guide

IBM Data Science in Practice

Enabling SSL for Database in IBM SPSS CaDS on Liberty ServerPost-Installation Guide If youve recently installed the SPSS Collaboration and Deployment Services (CaDS) on IBM Liberty and are wondering how to securely connect to your database via SSL, this blog is for you. Well walk through the step-by-step process to enable SSL after your initial IBM SPSS CaDSsetup.

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Securing Machine Learning Applications with Authentication and User Management

KDnuggets

A step-by-step guide to securing a FastAPI machine learning applications' endpoints with native authentication and user management.

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What Is HDR, Anyway?

Hacker News

It's not you. HDR confuses tons of people. In this post, we finally explain what HDR actually means, the problem it presents, and three ways to solve it.

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Why experts say AI companions arent safe for teens — yet

Flipboard

Millions of people are drawn to generative artificial intelligence companions, like the kind that populate Character.AI, Replika, and Nomi. The companions seem impressively human. They remember conversations and use familiar verbal tics. Sometimes they even mistake themselves for flesh and bone, offering descriptions of how they eat and sleep. Adults flock to these companions for advice, friendship, counseling, and even romantic relationships.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Introducing Apache Spark 4.0

databricks

Apache Spark 4.0 marks a major milestone in the evolution of the Spark analytics engine.

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Groq Named Inference Provider for Bell Canada’s Sovereign AI Network

insideBIGDATA

Groq announced a partnership with Bell Canada to power Bell AI Fabric, the countrys largest sovereign AI infrastructure project to establish a national AI network at six sites, targeting 500MW of hydro-powered.

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Matrix3D: Large Photogrammetry Model All-in-One

Machine Learning Research at Apple

We present Matrix3D, a unified model that performs several photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis using just the same model. Matrix3D utilizes a multi-modal diffusion transformer (DiT) to integrate transformations across several modalities, such as images, camera parameters, and depth maps. The key to Matrix3Ds large-scale multi-modal training lies in the incorporation of a mask learning strategy.

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Run Python in Your Browser with PyScript: A Beginner’s Guide

KDnuggets

You dont need an additional setup to run the Python web application.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Absolute Zero: Reinforced Self-Play Reasoning with Zero Data

Hacker News

Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing the reasoning capabilities of large language models by learning directly from outcome-based rewards. Recent RLVR works that operate under the zero setting avoid supervision in labeling the reasoning process, but still depend on manually curated collections of questions and answers for training.

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Stability AI releases an audio-generating model that can run on smartphones

Flipboard

AI startup Stability AI has released Stable Audio Open Small, a stereo audio-generating AI model that the company claims is the fastest on the market and efficient enough to run on smartphones.

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How to Clean Data Using AI

Analytics Vidhya

Cleaning data used to be a time-consuming and repetitive process, which took up much of the data scientist’s time. But now with AI, the data cleaning process has become quicker, wiser, and more efficient. AI models such as ChatGPT, Claude, Gemini, etc, can be used to automate anything from correcting format issues to handling missing […] The post How to Clean Data Using AI appeared first on Analytics Vidhya.

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Niftier Than Clippy, SAP Reimagines Omnipresent AI For Business

Adrian Bridgwater for Forbes

SAP has announced an operating system for AI development to help build, deploy and scale AI solutions, known as SAP AI Foundation.

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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