Thu.Jul 10, 2025

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Kaggle CLI Cheat Sheet

KDnuggets

Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models.

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VectorDB Internals for Engineers: What You Need to Know

Towards AI

Author(s): Harsh Chandekar Originally published on Towards AI. Ever wondered how your friendly neighborhood AI knows that “king” is somewhat similar to “queen” but definitely not to “banana”? The unsung heroes behind this magic are embeddings, and their meticulously organized apartments are vector databases. Think of embeddings as the AI’s internal language — a super-dense, high-dimensional numerical representation of just about anything: text, images, audio, you name it.

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Scaling AI Responsibly: Lessons in Efficiency, Flexibility, and Platform Design

ODSC - Open Data Science

In the rapidly evolving world of AI and data science, platforms are the bridge between promising ideas and real-world impact. Few understand this better than Hugo Shi, co-founder of Saturn Cloud and a technologist whose journey spans quant finance, open-source tooling, and enterprise AI infrastructure. Drawing from his experiences — from working as a quant during the 2008 financial crisis to helping launch Anaconda and now leading Saturn Cloud — Hugo Shi offers valuable insight into how AI tooli

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First-Time-Right Code Generation: Detailed Best Practices for AI-Assisted Development Teams

Towards AI

Last Updated on July 12, 2025 by Editorial Team Author(s): Mishtert T Originally published on Towards AI. As Someone who’s spent countless hours debugging code that seemed perfect at first glance, I’ve learned that AI coding tools can be both a blessing and a curse. The question isn’t whether these tools make us faster; they do. The real question is whether they make us better.

AI
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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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Scientists use deep learning to uncover hidden motor signs of neurodivergence

Flipboard

Diagnosing autism and attention-related conditions often takes months, if not years. But new research shows that analyzing how people move their hands during simple tasks, with the help of artificial intelligence, could offer a faster, objective path to early detection.

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LAI #83: Corrective RAG, Real-Time PPO, Adaptive Retrieval, and LLM Scaling Paths

Towards AI

Last Updated on July 11, 2025 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue is all about building AI systems that can recover. Whether it’s a query that needs re-routing, a retrieval step that missed the mark, or a policy model that overreacts to change, this issue is packed with techniques that keep things stable and smart.

AI

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Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency

Machine Learning Research at Apple

The adoption of text-to-image diffusion models raises concerns over reliability, drawing scrutiny under the lens of various metrics like calibration, fairness, or compute efficiency. We focus in this work on two issues that arise when deploying these models: a lack of diversity when prompting images, and a tendency to recreate images from the training set.

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AI Agents Learn to Test Their Own Hypotheses About How the World Works

NYU Center for Data Science

Most AI systems today are like really good students who can ace a specific test but struggle when the subject changes. CDS PhD student Anthony GX-Chen , CDS-associated Professor Rob Fergus , and Kenneth Marino of Google DeepMind and The University of Utah have built AI agents that work more like scientists — they form hypotheses about how their environment works, test those hypotheses, and build up knowledge they can use in new situations.

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A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques

Flipboard

This research proposes a novel framework for enhancing heart disease prediction using a hybrid approach that integrates classical and quantum-inspired machine learning techniques. The framework leverages a combined dataset comprising Cleveland, Hungarian, Switzerland, Long Beach, and Statlog datasets, encompassing 1190 observations. After preprocessing and removing 272 duplicate entries, the final dataset consists of 918 unique observations.

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CommVQ: Commutative Vector Quantization for KV Cache Compression

Machine Learning Research at Apple

Large Language Models (LLMs) are increasingly used in applications requiring long context lengths, but the key-value (KV) cache often becomes a memory bottleneck on GPUs as con- text lengths grow. To address this, we propose Commutative Vector Quantization (CommVQ) to significantly reduce memory usage for long context LLM inference. First, we leverage additive quantization by introducing a lightweight encoder and codebook to compress the KV cache, which can then be decoded with a simple matrix m

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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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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces

Flipboard

In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, social engagement, image classification, sentiment analysis in social media network analysis. This research explores how advanced machine learning techniques, leveraging social media data for image classification, can be used to gain deeper insights in

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How Rocket streamlines the home buying experience with Amazon Bedrock Agents

AWS Machine Learning Blog

Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home.” Although known to many as a mortgage lender, Rocket’s mission extends to the entire home ownership journey from finding the perfect home, purchasing, financing, and using your home equity. Rocket has grown by making the complex simple, empowering clients to navigate the home ownership journey through intuitive, technology-driven solutions.

AWS
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Building an AI Meeting Companion with AFM-4.5B and llama.cpp

Julien Simon

Ever been in a meeting thinking, “I should be taking notes, but I’m too busy actually participating”? Or worse, walked away with no idea what your next steps are? Indeed, commercial tools from Zoom, Microsoft, and others provide AI-powered companion features; however, they operate entirely in the cloud, which raises significant privacy concerns for many teams and organizations.

AI
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LLM Inference Handbook

Hacker News

A practical handbook for engineers building, optimizing, scaling and operating LLM inference systems in production.

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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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Decision Trees Aren’t Just for Tabular Data

Machine Learning Mastery

Versatile, interpretable, and effective for a variety of use cases, decision trees have been among the most well-established machine learning techniques for decades, widely used for classification and regression tasks.

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Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

Machine Learning Research at Apple

Discrete diffusion is a promising framework for modeling and generating discrete data. In this work, we present Target Concrete Score Matching (TCSM), a novel and versatile objective for training and fine-tuning discrete diffusion models. TCSM provides a general framework with broad applicability. It supports pre-training discrete diffusion models directly from data samples, and many existing discrete diffusion approaches naturally emerge as special cases of our more general TCSM framework.

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Build an MCP application with Mistral models on AWS

AWS Machine Learning Blog

This post is cowritten with Siddhant Waghjale and Samuel Barry from Mistral AI. Model Context Protocol (MCP) is a standard that has been gaining significant traction in recent months. At a high level, it consists of a standardized interface designed to streamline and enhance how AI models interact with external data sources and systems. Instead of hardcoding retrieval and action logic or relying on one-time tools, MCP offers a structured way to pass contextual data (for example, user profiles, e

AWS
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Concurrent Programming with Harmony

Hacker News

1: On Concurrent Programming 2: Hello World! 3: The Problems with Concurrent Programming 4: The Harmony Virtual Machine 5: Critical Sections 6: Harmony Methods and Pointers 7: Specifying a Lock 8: Lock Implementations 9: Concurrent Data Structures 10: Testing: Checking Behaviors 11: Debugging 12: Conditional Waiting 13: Condition Variables 14: Starvation 15: Deadlock 16: Actors and Message Passing 17: Barrier Synchronization 18: Advanced Barrier Synchronization 19: Example: A Concurrent File Ser

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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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Point-3D LLM: Studying the Impact of Token Structure for 3D Scene Understanding With Large Language Models

Machine Learning Research at Apple

Effectively representing 3D scenes for Multimodal Large Language Models (MLLMs) is crucial yet challenging. Existing approaches commonly only rely on 2D image features and use varied tokenization approaches. This work presents a rigorous study of 3D token structures, systematically comparing video-based and point-based representations while maintaining consistent model backbones and parameters.

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How to scale RL to 10^26 FLOPs

Hacker News

A roadmap for RL-ing LLMs on the entire Internet

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Bridging the Gaps in Big Data and AI Industries

Dataconomy

Written by Spencer Hulse This article has been originally published on Smartech Daily and republished at Dataconomy with permission. Software developers, AI innovators, and key decision-makers are flocking to Berlin from across the globe. The city hosts the 10th installment of WeAreDevelopers World Congress , where the software industry’s brightest meet to network, discuss, and share practical tips.

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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework

Flipboard

Medical imaging sciences and diagnostic techniques for Breast Cancer (BC) imaging have advanced tremendously, particularly with the use of mammography images; however, radiologists may still misinterpret medical images of the breast, resulting in limitations and flaws in the screening process. As a result, Computer-Aided Design (CAD) systems have become increasingly popular due to their ability to operate independently of human analysis.

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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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Gain Critical AI Agent Skills at the Virtual Agentic AI Summit in July

ODSC - Open Data Science

The Agentic AI Summit , this July 16th-31st, is a virtual deep dive into the next frontier of AI: agents that plan, reason, and act autonomously within real-world systems. This year’s lineup features expert-led sessions from startups, open-source leaders, and enterprise innovators building the infrastructure, frameworks, and methods that make agentic AI possible.

AI
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LGND wants to make ChatGPT for the Earth

Flipboard

The Earth is awash in data about itself. Every day, satellites capture around 100 terabytes of imagery. But making sense of it isn’t always easy. Seemingly simple questions can be fiendishly complex to answer.

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Building the Benchmark: Inside Our Agentic Insurance Underwriting Dataset

Snorkel AI

Introduction This post describes our specialized benchmark dataset developed through our Data-as-a-Service (DaaS) expert network of Chartered Property and Casualty Underwriters (CPCUs). The benchmark uncovers a number of model-specific and actionable error modes that include basic tool use errors and a surprising number of insidious hallucinations from one provider in particular.

SQL
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Use K8sGPT and Amazon Bedrock for simplified Kubernetes cluster maintenance

AWS Machine Learning Blog

As Kubernetes clusters grow in complexity, managing them efficiently becomes increasingly challenging. Troubleshooting modern Kubernetes environments requires deep expertise across multiple domains—networking, storage, security, and the expanding ecosystem of CNCF plugins. With Kubernetes now hosting mission-critical workloads, rapid issue resolution has become paramount to maintaining business continuity.

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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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Quantum computing

Dataconomy

Quantum computing represents a groundbreaking fusion of mathematics, physics, and computer science, promising to revolutionize the way we process information. Unlike traditional computers that manipulate bits as 0s and 1s, quantum computers use qubits that can exist in multiple states simultaneously. This unique property allows quantum computers to tackle complex problems at unprecedented speeds, opening pathways to innovations across various fields.

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Show HN: Cactus – Ollama for Smartphones

Hacker News

Cross-platform framework for deploying LLM/VLM/TTS models locally on smartphones.

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Apple Machine Learning Research at ICML 2025

Machine Learning Research at Apple

Apple researchers are advancing AI and ML through fundamental research, and to support the broader research community and help accelerate progress in this field, we share much of this research through publications and engagement at conferences. Next week, the International Conference on Machine Learning (ICML) will be held in Vancouver, Canada, and Apple is proud to once again participate in this important event for the research community and to be an industry sponsor.

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Samsung Ads bows ad solution to turn CTV viewers into mobile gamers

Flipboard

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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