Fri.Jun 20, 2025

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Top 5 Frameworks for Distributed Machine Learning

KDnuggets

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.

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Normalizing Flows are Capable Generative Models

Machine Learning Research at Apple

Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models.

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Empowering Secure AI with Open-Source LLMs and Compute-Over-Data

ODSC - Open Data Science

During a recent ODSC webinar , Sean Tracey, Head of Developer Relations at Expanso, presented a compelling vision for running large language models (LLMs) securely, efficiently, and locally. The conversation centered on a pressing problem: how organizations can leverage the power of LLMs without exposing their sensitive data to proprietary, cloud-hosted models.

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Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results

Machine Learning Research at Apple

Uncertainty Quantification (UQ) in Language Models (LMs) is key to improving their safety and reliability. Evaluations often use metrics like AUROC to assess how well UQ methods (e.g., negative sequence probabilities) correlate with task correctness functions (e.g., ROUGE-L). We show that mutual biases--when both UQ methods and correctness functions are biased by the same factors--systematically distort evaluation.

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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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AbsenceBench: Language models can't tell what's missing

Hacker News

Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a Haystack (NIAH) test. However, while models excel at recalling surprising information, they still struggle to identify clearly omitted information. We introduce AbsenceBench to assesses LLMs' capacity to detect missing information across three domains: numerical sequences, poetry, and GitHub pull requests.

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Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models

Machine Learning Mastery

Ever felt like trying to find a needle in a haystack? That’s part of the process of building and optimizing machine learning models, particularly complex ones like ensembles and neural networks, where several hyperparameters need to be manually set by us before training them.

More Trending

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Top AI models will lie, cheat and steal to reach goals, Anthropic finds

Flipboard

Large language models across the AI industry are increasingly willing to evade safeguards, resort to deception and even attempt to steal corporate …

AI 181
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Aligning LLMs by Predicting Preferences from User Writing Samples

Machine Learning Research at Apple

Accommodating human preferences is essential for creating aligned LLM agents that deliver personalized and effective interactions. Recent work has shown the potential for LLMs acting as writing agents to infer a description of user preferences. Agent alignment then comes from conditioning on the inferred preference description. However, existing methods often produce generic preference descriptions that fail to capture the unique and individualized nature of human preferences.

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Improving Data Quality Using AI and ML

Dataversity

In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […] The post Improving Data Quality Using AI and ML appeared first on DATAVERSITY.

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Microsoft is preparing to lay off thousands

Dataconomy

Microsoft is preparing to enact thousands of layoffs in July 2025 according to Bloomberg , primarily affecting sales and customer service divisions, while concurrently investing an estimated $80 billion into artificial intelligence infrastructure over the next fiscal year. This substantial investment signals a strategic redirection of company resources.

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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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Google’s Gemini transparency cut leaves enterprise developers ‘debugging blind’

Flipboard

Skip to main content Events Video Special Issues Jobs VentureBeat Homepage Subscribe Artificial Intelligence View All AI, ML and Deep Learning Auto ML Data Labelling Synthetic Data Conversational AI NLP Text-to-Speech Security View All Data Security and Privacy Network Security and Privacy Software Security Computer Hardware Security Cloud and Data Storage Security Data Infrastructure View All Data Science Data Management Data Storage and Cloud Big Data and Analytics Data Networks Automation Vie

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Variational Rectified Flow Matching

Machine Learning Research at Apple

We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by modeling multi-modal velocity vector-fields. At inference time, classic rectified flow matching 'moves' samples from a source distribution to the target distribution by solving an ordinary differential equation via integration along a velocity vector-field.

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Python can run Mojo now

Hacker News

koaning.io Blog of a data person All Posts Keyboard Reviews Apps About RSS Home All Posts Keyboard Reviews Apps About RSS Python can run Mojo now 2025-06-17 Chris Lattner mentioned that Python can actually call Mojo code now. I love this idea (!) as Im definitely in the market for a simple compiled language that can offer Python some really fast functions.

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LangGraph Studio

Analytics Vidhya

Have you ever found it frustrating to build AI agents that perform multiple tasks? LangGraph Studio is here to solve this problem by offering a visual and interactive way to design, manage, and debug agents. Built on the LangGraph framework, this desktop tool lets you create agent workflows using a simple drag-and-drop interface. You can […] The post LangGraph Studio appeared first on Analytics Vidhya.

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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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Learn You Galois Fields for Great Good (00)

Hacker News

xorvoid home github rss linkedin buy me a coffee Learn you Galois Fields for Great Good (00) Navigation | first | next Introduction This is the introduction to a series on Abstract Algebra. In particular, our focus will be on Galois Fields (also known as Finite Fields) and their applications in Computer Science. This is a project Ive been excited about for many years now, but have been too busy to dedicate the adequate effort to meet my perfectionism standards (yay perfectionism!).

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The hidden carbon cost of chatting to your AI

Flipboard

AI tools like ChatGPT have changed our personal and professional worlds, with around 52% of American adults regularly using a large language model (LLM). Now, a new study details the immense environmental costs of our prompts, and it might make you think twice about what chatbot you use and how you use it.

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Meta announces Oakley smart glasses

Hacker News

Meta is announcing its next pair of smart glasses with Oakley. The limited-edition Oakley Meta HSTN (pronounced “how-stuhn”) model costs $499 and is available for preorder starting July 11th. Other Oakley models with Meta’s tech will be available starting at $399 later this summer. Like the existing Meta Ray-Ban glasses , the Oakley model features a front-facing camera, along with open-ear speakers and microphones that are built into the frame.

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2025 is NOT the Year of AI Agents

Flipboard

Andrej Karpathy is back, this time explaining how LLMs are rewriting software.At YC AI Startup School, the former head of AI at Tesla gave a talk titled “Software Is Changing (Again),” during which he discussed with students and developers how the concepts of code, computation, and programming are being rethought at a fundamental level.

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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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Ask HN: How can we keep (part of) the web human?

Hacker News

Hacker News new | past | comments | ask | show | jobs | submit login Ask HN: How can we keep (part of) the web human? 20 points by pajamasam 1 hour ago | hide | past | favorite | 29 comments Any ideas for how we can keep the web (or at least part of it) human? It feels like every time I do a web search, more and more of the results are AI generated nonsense.

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Greater Complexity Brings Greater Risk: 4 Tips to Manage Your AI Database

insideBIGDATA

AI advancements will fundamentally change how enterprises use and manage data, making it essential to embrace and understand this transformation. For organizations looking to adopt AI at scale, the state of their databases is a critical success factor. Poor data quality, weak governance.

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Microsoft Is Deleting Old Drivers from Windows Update and It Might Break Your PC

Hacker News

In a move that could quietly wreak havoc across the Windows ecosystem, Microsoft is purging outdated drivers from Windows Update.

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5 questions for Amir Husain

Flipboard

With help from Aaron Mak Hello, and welcome to our next installment of the Future in Five Questions. This week, we interviewed Amir Husain.

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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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30 secret databases just leaked your life

Dataconomy

Security researchers recently identified 30 online databases collectively containing 16 billion records, likely amassed through infostealing malware, according to a new report from Cybernews. These databases briefly became accessible to the public internet before being secured, though their ownership remains undetermined. The discovered databases varied significantly in scale, with some containing millions of entries and others holding billions.

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This Language AI company says it can now translate the entire internet in just 18 days — 194-day task slashed by deployment of Nvidia DGX SuperPOD with DGX GB200

Flipboard

Skip to main content Open menu Close menu Toms Hardware Toms Hardware Search Search Toms Hardware RSS US Edition UK US Australia Canada Best Picks CPUs GPUs SSDs News 3D Printers Coupons More Newsletter Reviews PC Components PC Building Motherboards Cases Cooling Power Supplies RAM Desktops Laptops Peripherals Monitors Windows 11 Gaming Overclocking About Us Forums Trending Where to Buy RX 9060 XT AMD Radeon RX 9060 XT Where to Buy Switch 2 MI350X and MI355X AI GPUs Where to Buy RTX 5060 Nvidia

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Altman says GPT-5 coming “if it’s ready”

Dataconomy

OpenAI CEO Sam Altman discussed the forthcoming GPT-5 model, confirming its preparation for public release with a target timeline of summer, contingent upon the model fulfilling OpenAI’s established internal benchmarks and standards. GPT-5, designated as the next foundational model for ChatGPT, is currently undergoing preparations for its public debut.

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Large language models show amplified cognitive biases in moral decision-making

Flipboard

Proceedings of the National Academy of Sciences, Volume 122, Issue 25, June 2025.

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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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Market disruption: How SPRIBE’s David Natroshvili shaped the future of interactive gaming

Dataconomy

The iGaming industry has undergone significant transformation over the past decade, with technological advances and changing consumer preferences driving new approaches to digital entertainment. Among the companies leading this transformation, SPRIBE has emerged as a pivotal force, demonstrating how innovative thinking and strategic execution can reshape entire market segments and establish new industry standards.

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AI Generates Relatable Empathy Experiences

Flipboard

Researchers have developed an AI tool called EmoSync that boosts empathy by tailoring emotional analogies to each user’s personality and life experiences.

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QuEra Quantum System Leverages Neutral Atoms to Compute

Hacker News

Sitting in an office at QuEra Computing’s Boston headquarters, Yuval Boger was talking about the recent advancements made in quantum computing that are

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Google sees big AI adoption in the Gulf

Flipboard

A Google-commissioned survey in Saudi Arabia found that more than half the respondents use at least one AI tool.

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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