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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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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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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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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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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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Forget IPs: using cryptography to verify bot and agent traffic

Hacker News

With the rise of traffic from AI agents, whats considered a bot is no longer clear-cut. There are some clearly malicious bots, like ones that DoS your site or do credential stuffing, and ones that most site owners do want to interact with their site, like the bot that indexes your site for a search engine, or ones that fetch RSS feeds. Historically, Cloudflare has relied on two main signals to verify legitimate web crawlers from other types of automated traffic: user agent headers and IP address

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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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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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A leap year check in three instructions

Hacker News

How to test for leap years (until year 102499) in the proleptic Gregorian calendar with just three 32-bit instructions, with detailed explanation of the bit-level tricks.

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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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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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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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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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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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Revolutionizing agricultural knowledge management using a multi-modal LLM: A reference architecture

Flipboard

Handwritten documents are still an important form of data capture in agribusiness. Paper-based handwritten documents can be the result of business culture, lack of internet connectivity, lack of mobile devices or computers, or environmental conditions in the field or in an industrial setting. Because of the physical nature of the document, there might be a delay in transcription or even no transcription into a digital system for enterprise reporting, causing critical information to be unavailabl

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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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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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Data Storytelling with Altair and pynarrative: Turning Data into Insight

Towards AI

Last Updated on May 15, 2025 by Editorial Team Author(s): S Aishwarya Originally published on Towards AI. Strong data storytelling goes beyond simply visualizing numbers it uncovers the meaning behind the patterns, bringing clarity to what would otherwise be just a spreadsheet of values. Photo by Carlos Muza on Unsplash While visualization libraries like matplotlib, Plotly, and Seaborn can produce beautiful charts, they often lack one crucial feature: narrative.

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How Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod

AWS Machine Learning Blog

This post is co-written with Ken Tsui, Edward Tsoi and Mickey Yip from Apoidea Group. The banking industry has long struggled with the inefficiencies associated with repetitive processes such as information extraction, document review, and auditing. These tasks, which require significant human resources, slow down critical operations such as Know Your Customer (KYC) procedures, loan applications, and credit analysis.

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JavaScript's New Superpower: Explicit Resource Management

Hacker News

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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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How Qualtrics built Socrates: An AI platform powered by Amazon SageMaker and Amazon Bedrock

Flipboard

This post is co-authored by Jay Kshirsagar and Ronald Quan from Qualtrics. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Qualtrics, founded in 2002, is a pioneering software company that has spent over two decades creating exceptional frontline experiences, building high-performing teams, and designing products that people love.

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The OnePlus Watch 3 Completes The OnePlus Mobile Ecosystem

MoorInsights for Forbes

OnePlus has been building one of the most coherent and competitive ecosystems in the Android universe, and the Watch 3 helps this ecosystem stack up well against Samsung.

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Regression vs Classification in Machine Learning — Why Most Beginners Get This Wrong | M004

Towards AI

Author(s): Mehul Ligade Originally published on Towards AI. Regression vs Classification in Machine Learning Why Most Beginners Get This Wrong | M004 If youre learning Machine Learning and think supervised learning is straightforward, think again. The moment you start building your first model, you face a decision that most tutorials barely explain: should this be a regression problem or a classification problem?

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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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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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The Unreasonable Effectiveness of an LLM Agent Loop with Tool Use

Hacker News

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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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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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Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs

Machine Learning Research at Apple

Current Large Language Models (LLMs) are predominantly designed with English as the primary language, and even the few that are multilingual tend to exhibit strong English-centric biases. Much like speakers who might produce awkward expressions when learning a second language, LLMs often generate unnatural outputs in non-English languages, reflecting English-centric patterns in both vocabulary and grammar.

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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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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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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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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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Has IBM’s IT Automation Software Gotten Better?

MoorInsights for Forbes

IBM has sometimes struggled to convey a cohesive go-to-market message for its IT Automation suite. But this year's Think conference addressed this issue effectively.

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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