Trending Articles

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Top 5 Alternative Data Career Paths and How to Learn Them for Free

KDnuggets

How about some alternative options for a data career? Learn about five non-standard career paths, required skills, and how to learn them for free.

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Postman Unveils Agent Mode: AI-Native Development Revolutionizes API Lifecycle

insideBIGDATA

POST/CON, LOS ANGELES June 4, 2025 Postman, API collaboration platform maker, today announced Agent Mode, anAI-native assistant designed to deliver productivity gains across the API lifecycle.

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Researchers Use AI in Pursuit of ALS Treatments

insideBIGDATA

Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in the form of drugs prescribed for other conditions.

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Inside the LLM system that reads emails like a cybersecurity analyst

Dataconomy

Phishing emails, those deceptive messages designed to steal sensitive information, remain a significant cybersecurity threat. As attackers devise increasingly sophisticated tactics, traditional detection methods often fall short. Researchers from the University of Auckland, have introduced a novel approach to combat this issue. Their paper, titled “ MultiPhishGuard: An LLM-based Multi-Agent System for Phishing Email Detection ,” authored by Yinuo Xue, Eric Spero, Yun Sing Koh, and Gi

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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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The Data + AI Summit 2025: Your Guide to the Smartest Scene in Finance

databricks

The Big Picture: Why You Should Care Forget stuffy boardrooms and endless PowerPoints.

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Disaster Awaits if We Don’t Secure IoT Now

Hacker News

In 2015, Ukraine experienced a slew of unexpected power outages. Much of the country went dark. The U.S. investigation has concluded that this was due to a Russian state cyberattack on Ukrainian computers running critical infrastructure. In the decade that followed, cyberattacks on critical infrastructure and near-misses continued. In 2017, a nuclear power plant in Kansas was the subject of a Russian cyberattack.

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10 Awesome OCR Models for 2025

KDnuggets

Stay ahead in 2025 with the latest OCR models optimized for speed, accuracy, and versatility in handling everything from scanned documents to complex layouts.

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Apache Iceberg™ v3: Moving the Ecosystem Towards Unification

databricks

Apache Iceberg v3, now approved by the Apache Iceberg community, introduces advanced new features and data types.

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The Creepy, Surprisingly Routine Business of Animal Cloning

Hacker News

Really and truly, a horse can be alive forever. Forever and ever.

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IBM Unveils watsonx AI Labs in New York City

insideBIGDATA

IBM (NYSE:IBM) announcedwatsonx AI Labs, a developer-first hub in New York City designed for AI builders and AI adoption at scale. watsonx AI Labs connects IBM's enterprise resources and expertise with AI developers building AI applications for business.

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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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Unlocking the power of Model Context Protocol (MCP) on AWS

Flipboard

Weve witnessed remarkable advances in model capabilities as generative AI companies have invested in developing their offerings. Language models such as Anthropics Claude Opus 4 & Sonnet 4 , Amazon Nova , and Amazon Bedrock can reason, write, and generate responses with increasing sophistication. But even as these models grow more powerful, they can only work with the information available to them.

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10 Generative AI Key Concepts Explained

KDnuggets

In this article we explore 10 generative AI concepts that are key to understanding, whether you are an engineer, user, or consumer of generative AI.

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Apache Iceberg v3: Moving the Ecosystem Towards Unification

databricks

Apache Iceberg v3, now approved by the Apache Iceberg community, introduces advanced new features and data types.

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The Gutting of America's Medical Research

Hacker News

Some cuts have been starkly visible, but the countrys medical grant-making machinery has also radically transformed outside the public eye.

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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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Build a Conversational AI Agent with Rasa

Analytics Vidhya

Customer-facing conversational AI assistants don’t operate in a vacuum. They are embedded within well-defined business processes. That’s why these systems are expected to reliably and consistently guide users through each step of a predetermined workflow. However, existing agentic frameworks that leverage a concept of tool calling or function calling to interact with systems (such as […] The post Build a Conversational AI Agent with Rasa appeared first on Analytics Vidhya.

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Forget What You Know About Search. Optimize Your Brand for LLMs

Flipboard

How to sell your product when generative AI becomes the consumer.

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5 Error Handling Patterns in Python (Beyond Try-Except)

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app. Master these 5 Python patterns that handle failures like a pro!

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Announcing Storage-Optimized Endpoints for Vector Search

databricks

Most enterprises sit on a massive amount of unstructured data—documents, images, audio, video—yet only a fraction ever turns into actionable insight.

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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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(On | No) Syntactic Support for Error Handling

Hacker News

Go team plans around error handling support

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5 Ways to Market Yourself as a Data Professional on LinkedIn

Analytics Vidhya

LinkedIn is the de facto social networking site for professionals. With over a billion users on the platform and 7 people getting hired each minute, it has positioned itself as the mainstream career market. A survey shows, LinkedIn candidates are given higher precedence than candidates from the other channels, and over 72% of recruiters prefer […] The post 5 Ways to Market Yourself as a Data Professional on LinkedIn appeared first on Analytics Vidhya.

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How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell

Flipboard

Most people interested in generative AI likely already know that Large Language Models (LLMs) like those behind ChatGPT, Anthropics Claude, and Googles Gemini are trained on massive datasets: trillions of words pulled from websites, books, codebases, and, increasingly, other media such as

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Mixedbread Cloud: A Unified API for RAG Pipelines

KDnuggets

Explore this unified API for file uploading, document parsing, embedding models, vector store, and a retrieval pipeline.

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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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Iceberg v3: Moving the Ecosystem Towards Unification

databricks

Iceberg v3, now approved by the Apache Iceberg community, introduces advanced new features and data types.

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Polish engineer creates postage stamp-sized 1980s Atari computer

Hacker News

In 1979, Atari released the Atari 400 and 800 , groundbreaking home computers that included custom graphics and sound chips, four joystick ports, and the ability to run the most advanced home video games of their era. These machines, which retailed for $549 and $999, respectively, represented a leap in consumer-friendly personal computing, with their modular design and serial I/O bus that presaged USB.

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Improve Vision Language Model Chain-of-thought Reasoning

Machine Learning Research at Apple

Chain-of-thought (CoT) reasoning in vision language models (VLMs) is crucial for improving interpretability and trustworthiness. However, current training recipes often relying on datasets dominated by short annotations with minimal rationales. In this work, we show that training VLM on short answers leads to poor generalization on reasoning tasks that require more detailed explanations.

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Stop guessing why your LLMs break: Anthropic’s new tool shows you exactly what goes wrong

Flipboard

Large language models (LLMs) are transforming how enterprises operate, but their black box nature often leaves enterprises grappling with unpredictability.

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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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WTF is GRPO?!?

KDnuggets

This article unveils what GRPO is and explains how it works in the context of LLMs, using a simpler and understandable narrative.

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8 FREE Platforms to Host Machine Learning Models

Analytics Vidhya

Deploying a machine learning model is one of the most critical steps in setting up an AI project. Whether its a prototype or you are scaling it for production, model deployment in ML ensures that the models are accessible and can be used in practical environments. In this article, well explore the best platforms to […] The post 8 FREE Platforms to Host Machine Learning Models appeared first on Analytics Vidhya.

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VC money is fueling a global boom in worker surveillance tech

Hacker News

A funding surge has given rise to technologies to track, analyze and manage workers often in countries with little regulation.

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Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection

Machine Learning Research at Apple

*Equal Contributors Identifying mistakes (i.e., miscues) made while reading aloud is commonly approached post-hoc by comparing automatic speech recognition (ASR) transcriptions to the target reading text. However, post-hoc methods perform poorly when ASR inaccurately transcribes verbatim speech. To improve on current methods for reading error annotation, we propose a novel end-to-end architecture that incorporates the target reading text via prompting and is trained for both improved verbatim tr

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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