Trending Articles

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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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Using elliptic curves to solve a math meme

Hacker News

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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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A Guide to Mastering Serverless Machine Learning

KDnuggets

Discover the what, why, and how of serverless machine learning with the interactive course GitHub repository.

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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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Gemini 2.5 Pro vs Claude 3.7 Sonnet: Which is Better for Coding Tasks?

Analytics Vidhya

Coding is among the top uses of LLMs as per a Harvard 2025 report. Engineers and developers around the world are now using AI to debug their code, test it, validate it, or write scripts for it. In fact, with the way current LLMs are performing at generating code, soon they will be almost like […] The post Gemini 2.5 Pro vs Claude 3.7 Sonnet: Which is Better for Coding Tasks?

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OpenAI launches Codex, an AI coding agent, in ChatGPT

Flipboard

OpenAI announced on Friday its launching a research preview of Codex, the companys most capable AI coding agent yet. Codex is powered by codex-1, a version of the companys o3 AI reasoning model optimized for software engineering tasks.

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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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What are Vision RAG Models?

Analytics Vidhya

As the field of AI is evolving, Retrieval-Augmented Generation (RAG) has emerged as a turning point in the field of Artificial Intelligence. Now vision RAG integrates these abilities into the visual space by integrating images, diagrams, and videos. Vision RAG enables models to produce responses that are not just textually correct but visually enriched.

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Musk's xAI says Grok's 'white genocide' posts resulted from an unauthorized change to the bot

Flipboard

Elon Musk's AI company did clarify who made the change to the bot that caused it to bring up the contested idea of "white genocide" in South Africa without relevant prompting.

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Jules: An Asynchronous Coding Agent

Hacker News

Jules is an asynchronous agent that gets out of your way. It lets you focus on the coding you want to do, meawnwhile picking up all the other random tasks that you rather not do.

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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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Windsurf has launched homegrown AI models despite OpenAI deal

Dataconomy

Windsurf, the startup best known for its AI coding assistant tools, has launched a new set of proprietary models aimed at redefining how AI supports software engineering. The newly introduced family includes three models: SWE-1, SWE-1-lite, and SWE-1-mini. Unlike traditional code-generation tools, these models are designed to support the entire software engineering process from end to end.

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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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Accelerate edge AI development with SiMa.ai Edgematic with a seamless AWS integration

AWS Machine Learning Blog

This post is co-authored by Manuel Lopez Roldan, SiMa.ai, and Jason Westra, AWS Senior Solutions Architect. Are you looking to deploy machine learning (ML) models at the edge? With Amazon SageMaker AI and SiMa.ais Palette Edgematic platform, you can efficiently build, train, and deploy optimized ML models at the edge for a variety of use cases. Designed to work on SiMas MLSoC (Machine Learning System on Chip) hardware, your models will have seamless compatibility across the entire SiMa.ai produc

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Qwen2.5-Omni is a Powerhouse: A Guide with Demo Project

Flipboard

This article guides you throughout a demo project to set up and run an instance of this powerful multi-modal model in a Python script or notebook.

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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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JavaScript's New Superpower: Explicit Resource Management

Hacker News

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Motorola Expands Its 2025 Razr Lineup With New Phones, AI Partnerships

MoorInsights for Forbes

The Razr 60 Ultra embraces new colors and materials, and the whole Razr range reflects the company's focus on AI-driven functionality to enhance the user experience.

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We demonstrate graph visualization integration with Google Cloud’s Spanner Graph for scalable, real-time data insights

Cambridge Intelligence

We’ve developed an integration with Google Cloud’s Spanner Graph that showcases how our combined technologies help investigation teams tackle cybersecurity threats, fraud, and more. A real-time cloud security dashboard built with ReGraph and Google Clouds Spanner Graph In domains where analysts navigate complex, high-stakes data investigations, traditional tools often fall short.

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Set up a custom plugin on Amazon Q Business and authenticate with Amazon Cognito to interact with backend systems

AWS Machine Learning Blog

Businesses are constantly evolving, and leaders are challenged every day to meet new requirements and are seeking ways to optimize their operations and gain a competitive edge. One of the key challenges they face is managing the complexity of disparate business systems and workflows, which leads to inefficiencies, data silos, and missed opportunities.

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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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Detect hallucinations for RAG-based systems

Flipboard

With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on. This can also help reduce generation of false or misleading information (hallucinations).

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Self-Hosting Moose with Docker Compose, Redis, Temporal, Redpanda and ClickHouse

Hacker News

Documentation for Moose and Aurora by 514 Labs

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DataOps and Scalability: The One-Two Punch for Creating Successful Data Products

Dataversity

Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether its an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these […] The post DataOps and Scalability: The One-Two Punch for Creating Successful Data Products appeared first on DATAVERSITY.

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Gemini in TalkBack: How Google is trying to revolutionize screen readers

Dataconomy

Google announced on Thursday that it’s rolling out new AI and accessibility features to Android and Chrome, enhancing the user experience for people with disabilities. The updates aim to make Android and Chrome more inclusive and user-friendly. One of the key updates is to TalkBack, Android’s screen reader, which now allows users to ask Gemini about the content of images and their phone screen.

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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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AWS machine learning supports Scuderia Ferrari HP pit stop analysis

AWS Machine Learning Blog

As one of the fastest sports in the world, almost everything is a race in Formula 1 (F1), even the pit stops. F1 drivers need to stop to change tires or make repairs to damage sustained during a race. Each precious tenth of a second the car is in the pit is lost time in the race, which can mean the difference between making the podium or missing out on championship points.

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The best transcription services we tested

Flipboard

I tested the best transcription software options that can translate audio and video conversations for you. These are my favorites.

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Agency is The Key to AGI

Towards AI

Last Updated on May 16, 2025 by Editorial Team Author(s): Adam BEN KHALIFA Originally published on Towards AI. Why are agentic workflows essential for achieving AGI Let me ask you this, what if the path to truly smart and effective AI,the kind we call AGI, isnt just about building one colossal, all-knowing brain? What if the real breakthrough lies not in making our models only smarter, but in making them also capable of acting, adapting, and evolving?

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Is TikTok’s new meditation push a real safety play or just good PR optics?

Dataconomy

TikTok will now interrupt teens’ feeds with guided meditation after 10PM by default, expanding on its existing “wind down” feature. The platform has been testing this feature, initially only available to users under 16, but it will now be shown to all users under 18. The “wind down” prompt was first introduced to remind teens to take a break from the app at night by playing calming music.

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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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Congratulations to Our 2025 Graduates

NYU Center for Data Science

As the fields of data science and AI enter a period of rapid and often unpredictable change, our 2025 graduates leave CDS with both the flexibility to adapt and the depth to lead. Theyve worked through a time of enormous expansion in the capabilities of machine learning, and theyve done so with rigor, imagination, andcare. This year, CDS celebrates the work of students across every level of study.

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AI is getting more powerful, but its hallucinations are getting worse

Flipboard

A new wave of reasoning systems from companies like OpenAI is producing incorrect information more often. Even the companies dont know why. Last month, an.

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27000 Dragons and 10'000 Lights: GPU-Driven Clustered Forward Renderer

Hacker News

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You Have NO Excuse to Not Be an LLM Developer Today

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Ever since we released our first book on LLMs and now our most comprehensive course, From Beginner to Advanced LLM Developer weve heard the same questions from devs sitting on the fence: Isnt most of this stuff already free online? Sure if you have time to stitch together YouTube videos, half-written blog posts, outdated Colabs, and guess your way through broken workflows.

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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