Trending Articles

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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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FTC bans hidden fees for live events and short-term rentals, effective May 12

Hacker News

The U.S. Federal Trade Commission (FTC) on Monday released new documentation detailing its new "Rule on Unfair or Deceptive Fees."The rule, set to take The U.S. Federal Trade Commission released a FAQ document clarifying its rule hidden fees for live events, hotels, and short-term rentals.

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Anthropic CEO Admits We Have No Idea How AI Works

Flipboard

The CEO of one of the world's leading artificial intelligence labs just said the quiet part out loud: that nobody really knows how AI works. In an essay published to his personal website , Anthropic CEO Dario Amodei announced plans to create a robust "MRI on AI" within the next decade.The goal is not only to figure out what makes the technology tick, but also to head off any unforeseen dangers associated with what he says remains its currently enigmatic nature.

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Navigating Your Netezza to Databricks Migration: Tips for a Seamless Transition

databricks

Why migrate from Netezza to Databricks? The limitations of traditional enterprise data warehouse (EDW) appliances like Netezza are becoming increasingly apparent.

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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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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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Building End-to-End Data Pipelines with Dask

KDnuggets

Learn how to implement a parallelization process in your data pipeline.

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DOGE software engineer’s computer infected by info-stealing malware

Hacker News

Login credentials belonging to an employee at both the Cybersecurity and Infrastructure Security Agency and the Department of Government Efficiency have appeared in multiple public leaks from info-stealer malware, a strong indication that devices belonging to him have been hacked in recent years. Kyle Schutt is a 30-something-year-old software engineer who, according to Dropsite News , gained access in February to a core financial management system belonging to the Federal Emergency Management A

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Navigating the SQL Server to Databricks Migration: Tips for a Seamless Transition

databricks

The imperative for modernization Traditional database solutions like SQL Server have struggled to keep up with the demands of modern data workloads due to a

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Machine learning model accuracy

Dataconomy

Machine learning model accuracy plays a crucial role in determining how well a model performs in real-world applications. In a data-driven landscape, accurately predicting outcomes can significantly affect decision-making and operational efficiency. Understanding what defines accuracy and how it is measured helps businesses and researchers assess the effectiveness of their models in making reliable predictions.

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Mastering NumPy’s Universal Functions for Fast Array Computation

KDnuggets

Master element-wise operations, comparisons, logic, aggregation, and broadcasting using NumPy ufuncs for high-performance array processing.

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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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AI hallucinations are getting worse – and they're here to stay

Flipboard

An AI leaderboard suggests the newest reasoning models used in chatbots are producing less accurate results because of higher hallucination rates.

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iOS Kindle app now has a ‘get book’ button after changes to App Store rules

Hacker News

A welcome upgrade.

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Implementing a Dimensional Data Warehouse with Databricks SQL: Part 2

databricks

As organizations consolidate analytics workloads to Databricks, they often need to adapt traditional data warehouse techniques.

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5 Insights by Satya Nadella and Mark Zuckerberg on the Future of AI

Analytics Vidhya

If you’re an AI enthusiast like me, you have probably had many sleepless nights. It’s challenging to keep up with all AI updates. Last week, a major event took place: Metas first-ever LlamaCon. The event started with the launch of Metas new app. Then, they announced a developer support system for Llama 4 models. Overall, […] The post 5 Insights by Satya Nadella and Mark Zuckerberg on the Future of AI appeared first on Analytics Vidhya.

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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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Brad Smith testifies Microsoft blocked DeepSeek app for employees

Dataconomy

Microsoft employees are banned from using the DeepSeek app due to concerns over data security and potential exposure to Chinese propaganda, according to Microsoft Vice Chairman and President Brad Smith, who testified before a Senate hearing on May 8, 2025. Smith stated that Microsoft does not allow its employees to use DeepSeek’s application service, available on both desktop and mobile platforms, citing risks associated with data storage in China and the potential for DeepSeek’s res

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A.I. Is Getting More Powerful, but Its Hallucinations Are Getting Worse

Flipboard

Last month, an A.I. bot that handles tech support for Cursor, an up-and-coming tool for computer programmers, alerted several customers about a change in company policy. It said they were no longer allowed to use Cursor on more than just one computer.

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Dimension 126 Contains Twisted Shapes, Mathematicians Prove

Hacker News

A new proof represents the culmination of a 65-year-old story about anomalous shapes in special dimensions.

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From Warehouse to Lakehouse: Migration Approaches to Databricks

databricks

Before making architectural decisions, its worth revisiting the broader migration strategy.

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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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Build Your Own Warren Buffett Agent in 5 Minutes

Analytics Vidhya

What if you could ask Warren Buffett about a stock, market trends, or long-term investing, anytime you wanted? With reports suggesting he may soon step down as CEO of Berkshire Hathaway, its a good moment to reflect on the lasting value of his principles. For decades, Buffett has been a steady voice in investing, known […] The post Build Your Own Warren Buffett Agent in 5 Minutes appeared first on Analytics Vidhya.

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Automate Dataset Labeling with Active Learning

Machine Learning Mastery

A few years ago, training AI models required massive amounts of labeled data.

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Why Pigeons at Rest Are at the Center of Complexity Theory

Flipboard

When pigeons outnumber pigeonholes, some birds must double up. This obvious statement, and its inverse, have deep connections to many areas of math and computer science.

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Zuckerberg Sailed 5,300 Miles with Two Superyachts to Helicopter Up a Mountain

Hacker News

IN A NUTSHELL Mark Zuckerberg mobilized his two superyachts, the Launchpad and the Wingman, for a spectacular journey to Norway’s fjords. The yachts served as a floating base for an extravagant heliskiing adventure, bypassing Norway’s strict helicopter landing regulations.

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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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How Databricks Simplifies Data Warehouse Migrations with Proven Strategies and Tools

databricks

Modernize your data warehouse by migrating to Databricks Legacy enterprise data warehouses (EDWs) are becoming a bottleneck for businesses aiming to scale operations and adopt

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How to Build an Intelligent FAQ Chatbot Using Agentic RAG and LangGraph

Analytics Vidhya

AI agents are now a part of enterprises big and small. From filling forms at hospitals and checking legal documents to analyzing video footage and handling customer support – we have AI agents for all kinds of tasks. Companies often spend hundreds of thousands of dollars on hiring customer support staff who can understand the […] The post How to Build an Intelligent FAQ Chatbot Using Agentic RAG and LangGraph appeared first on Analytics Vidhya.

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Inside Apple’s plan to replace Qualcomm and Broadcom chips

Dataconomy

Apple is working to replace Qualcomm’s cellular modems and Broadcom’s networking chips with its own in-house technology, starting with the C1 modem in the iPhone 16e earlier this year. The company’s first step in this journey is to take control of the chips used in its devices. The C1 modem, while efficient, doesn’t support 5G mmWave and some wavelengths used by Qualcomm modems.

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Brain interface used to edit YouTube video — paralyzed Neuralink patient also uses AI to narrate with his own voice

Flipboard

Bradford Smith, an ALS patient, is the third patient to receive a Neuralink implant. This tech has allowed him to edit and upload a YouTube video, and even help him synthesize his voice using AI.

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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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Load-Store Conflicts

Hacker News

meshoptimizer implements several geometry compression algorithms that are designed to take advantage of redundancies common in mesh data and decompress quickly - targeting many gigabytes per second in decoding throughput. One of them, index decoder, has seen a significant and unexpected variance in performance across multiple compilers and compiler releases recently; upon closer investigation, the differences can mostly be attributed to the same microarchitectural detail that is not often talked

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Navigating the Oracle to Databricks Migration: Tips for a Seamless Transition

databricks

As more organizations adopt lakehouse architectures, migrating from legacy data warehouses like Oracle to modern platforms like Databricks has become a common priority.

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WHY‑Us: A Simple Prompt Framework for High Impact and Consistent Results from LLMs

Towards AI

Last Updated on May 6, 2025 by Editorial Team Author(s): Kaushik Holla Originally published on Towards AI. Source: By the Author; Generated using GPT 4o Its been little over two years now since I started integrating LLMs into business applications to achieve product KPIs and goalsand its been one wild ride. Over these years, I have been in situations where I have tried almost every prompting technique out there like Zero-shot, few-shot, role-based, step-by-step etc.

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LLM red teaming

Dataconomy

LLM red teaming plays a critical role in enhancing the safety and ethical standards of large language models. As these models increasingly influence communication and decision-making, ensuring their integrity is vital. By simulating adversarial scenarios, red teaming aims to identify weaknesses that could lead to undesirable outcomes in real-world applications.

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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