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NVIDIA Announces DGX Cloud Lepton for GPU Access across Multi-Cloud Platforms

insideBIGDATA

NVIDIA today announced at the Computex confence in Taiwan NVIDIA DGX Cloud Lepton an AI platform with a compute marketplace that connects developers building agentic and physical AI applications with GPUs from a network of cloud providers, including CoreWeave, Crusoe, Firmus, Foxconn.

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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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Have I Been Pwned 2.0 is Now Live!

Hacker News

This has been a very long time coming, but finally, after a marathon effort, the brand new Have I Been Pwned website is now live ! Feb last year is when I made the first commit to the public repo for the rebranded service, and we soft-launched the new brand in March of this year. Over the course of this time, we've completely rebuilt the website, changed the functionality of pretty much every web page, added a heap of new features, and today, we're even launching a merch store 😎

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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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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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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AI Can Beat You in a Debate When It Knows Who You Are, Study Finds

Flipboard

A new study shows LLMs like Chat GPT win more debates than humans when it gets a little personal.

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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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America is in danger of experiencing an academic brain drain

Hacker News

Other countries may benefit.

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5 Breakthrough Machine Learning Research Papers Already in 2025

Machine Learning Mastery

Machine learning research continues to advance rapidly.

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Groundbreaking AI model uncovers hidden patterns of political bias in online news

Flipboard

A new study published in PLOS One introduces a large-scale method for detecting political bias in online news sources using artificial intelligence.

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The IKEA of Data: How to Bring Modular Thinking to Your Data Architecture (and Why It Works)

IBM Data Science in Practice

Phew! Those dreaded (rather liked) 3-letter acronymsIOT A few years ago, I found myself thinking about how messy IoT data could getfast. I ended up comparing it to a supermarket: different aisles, different types of data, all needing their own shelf space and labelingsystem. Looking back now, that idea still holdsbut its bigger than just IoT. Todays data ecosystems are even more complex.

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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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WTF is Language Model Quantization?!?

KDnuggets

Unveiling the origins, "ins and outs," and implications of quantization in language models: all in simple terms.

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College English majors can't read

Hacker News

They have one job and they can't do it

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Google Search’s Two New AI Features: AI Overview and AI Mode

Analytics Vidhya

Google search has been an anchor for web searches across the world. Processing around 14 billion searches per day and around 2 trillion searches annually. Lets put that into perspective: 14 billion searches in a day is more than double the heartbeats of the entire human race per second! Google search is the pulse of […] The post Google Searchs Two New AI Features: AI Overview and AI Mode appeared first on Analytics Vidhya.

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Navy wants AI tools to boost data processing, resource distribution

Flipboard

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navys Marine Operations Centers.

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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

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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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Microsoft’s long and patient hunt for the Lumma Stealer malware finally paid off big

Dataconomy

Microsoft and international law enforcement have executed a court-approved operation to dismantle Lumma Stealer, a widespread info-stealing malware that had infected over 394,000 Windows computers worldwide, with most cases reported in Brazil, Europe, and the U.S. Microsoft has been tracking Lumma Stealer since June 2023, and considered it a significant threat.

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The metre originated in the French Revolution

Hacker News

The next time you pick up a bag of spuds from the supermarket or fill up the car with petrol, you can thank a treaty signed in 1875 for the metric system that underpins daily life.

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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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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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DolphinGemma Could Enable AI Communication with Dolphins

Flipboard

Rachel Feltman: For Scientific Americans Science Quickly, Im Rachel Feltman.

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Automating complex document processing: How Onity Group built an intelligent solution using Amazon Bedrock

AWS Machine Learning Blog

In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group , a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities.

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Data splitting

Dataconomy

Data splitting is a fundamental technique in the field of machine learning and data science that allows practitioners to evaluate and improve the performance of their models. This approach involves dividing a dataset into distinct subsets, ensuring models can learn from one part while being evaluated on another, thus preventing overfitting. Understanding the intricacies of data splitting can significantly influence the robustness and reliability of predictive models.

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Find Your People

Hacker News

Thank you to Bucknell University for inviting me to be this year's commencement speaker. And congratulations to the Class of 2025! Watch the speech on YouTube. Thirty-two.

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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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Humanoid Policy ~ Human Policy

Machine Learning Research at Apple

Training manipulation policies for humanoid robots with diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot demonstrations is labor-intensive, requiring expensive tele-operated data collection which is difficult to scale. This paper investigates a more scalable data source, egocentric human demonstrations, to serve as cross-embodiment training data for robot learning.

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Rewiring Memory: A New Model That Learns Like a Human Brain

Flipboard

A new memory model called Input-Driven Plasticity (IDP) offers a more human-like explanation for how external stimuli help us retrieve memories, building on the foundations of the classic Hopfield network.

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Build a Search Engine: Semantic Search System Using OpenSearch

PyImageSearch

Home Table of Contents Build a Search Engine: Semantic Search System Using OpenSearch Introduction Why Semantic Search? (Beyond Keyword Matching) How Semantic Search Works What Are Embeddings? Sentence Embeddings in Action Nearest Neighbors and Semantic Search How OpenSearch Performs Semantic Search How OpenSearch Uses Neural Search and k-NN Indexing Understanding the Workflow Why Does This Matter for Movie Search?

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Fuzzy logic

Dataconomy

Fuzzy logic is a fascinating area of study that breaks away from the traditional binary classifications of truth. Unlike Boolean logic, which relies on strict true or false values, Fuzzy Logic recognizes that truth can exist in varying degrees. This nuanced understanding allows for more complex reasoning and better approximates human thought processes, which often deal with uncertainty and ambiguity.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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KumoRFM: A Foundation Model for In-Context Learning on Relational Data

Hacker News

Foundation Models have completely taken over unstructured data domains like natural language and images, delivering significant advances in performance across tasks with little to no task-specific training. Yet structured and semi-structured relational data, which represent some of the most valuable information assets, largely miss out on this AI wave.

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Lower science funding so far in 2025

FlowingData

With a circular voronoi diagram, NYT’s the Upshot shows a much slower rate of funding from the National Science Foundation, through May 21. The full cells show the average funding over the past decade up to the same date, and the darker cells show the current funding. It looks like there are four categories with more funding than usual. Everything else is a big cut.

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Why enterprise RAG systems fail: Google study introduces ‘sufficient context’ solution

Flipboard

Google's "sufficient context" helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for business applications.

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Principal Financial Group increases Voice Virtual Assistant performance using Genesys, Amazon Lex, and Amazon QuickSight

AWS Machine Learning Blog

This post was cowritten by Mulay Ahmed, Assistant Director of Engineering, and Ruby Donald, Assistant Director of Engineering at Principal Financial Group. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Principal Financial Group is an integrated global financial services company with specialized solutions helping people, businesses, and institutions reach their long-term financial goals and access gre

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m