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AI Inference: NVIDIA Reports Blackwell Surpasses 1000 TPS/User Barrier with Llama 4 Maverick

insideBIGDATA

NVIDIA said it has achieved a record large language model (LLM) inference speed, announcing that an NVIDIA DGX B200 node with eight NVIDIA Blackwell GPUs achieved more than 1,000tokens per second (TPS) per user on the 400-billion-parameter Llama 4 Maverick model.

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How to Clean Data Using AI

Analytics Vidhya

Cleaning data used to be a time-consuming and repetitive process, which took up much of the data scientist’s time. But now with AI, the data cleaning process has become quicker, wiser, and more efficient. AI models such as ChatGPT, Claude, Gemini, etc, can be used to automate anything from correcting format issues to handling missing […] The post How to Clean Data Using AI appeared first on Analytics Vidhya.

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I used o3 to find a remote zeroday in the Linux SMB implementation

Hacker News

In this post I'll show you how I found a zeroday vulnerability in the Linux kernel using OpenAI's o3 model. I found the vulnerability with nothing more complicated than the o3 API - no scaffolding, no agentic frameworks, no tool use. Recently I've been auditing ksmbd for vulnerabilities.

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Latest OpenAI models ‘sabotaged a shutdown mechanism’ despite commands to the contrary

Flipboard

Researchers observe the latest OpenAI models sabotaging shutdown attempts, despite explicit commands to allow such interruptions.

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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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CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling

Machine Learning Research at Apple

Mixture-of-Experts (MoE) models are crucial for scaling model capacity while controlling inference costs. While integrating MoE into multimodal models like CLIP improves performance, training these models is notoriously challenging and expensive. We propose CLIP-Upcycling (CLIP-UP), an efficient alternative training strategy that converts a pre-trained dense CLIP model into a sparse MoE architecture.

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TSMC to Add Chip Design Center in Germany for AI, Other Sectors

insideBIGDATA

TSMC announced today it will open a new chip design center in Munich by the third quarter of this year, something viewed as European Union victory as it pursues self-reliance in chip production. According to an article on the MarketScreener (with Reuters).

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Singularities in Space-Time Prove Hard to Kill

Hacker News

Black hole and Big Bang singularities break our best theory of gravity. A trilogy of theorems hints that physicists must go to the ends of space and time to find a fix.

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DolphinGemma Could Enable AI Communication with Dolphins

Flipboard

Rachel Feltman: For Scientific Americans Science Quickly, Im Rachel Feltman.

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32 MCP Servers You Need To Check Out Now

KDnuggets

Explore list of top MCP servers that enable seamless integration of LLMs with tools like databases, APIs, communication platforms, and more, helping you automate workflows and enhance AI applications.

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News Bytes 20250526: Biggest AI Training Center?, Big AI Pursues AGI and Beyond, NVIDIA’s Quantum Moves, RISC-V Turns 15

insideBIGDATA

A solemn Memorial Day (US) salute to our lost loved ones. The world of HPC-AI continues its global expansion with much news over the past week, including: Big AI pursues AGI and SI, Stargate plans for sites in the US, Middle East and APAC, NVIDIA investing in PsiQuantum?

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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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Implementing a Dimensional Data Warehouse with Databricks SQL, Part 3

databricks

Dimensional modeling is a time-tested approach to building analytics-ready data warehouses.

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America is in danger of experiencing an academic brain drain

Hacker News

Other countries may benefit.

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Groundbreaking AI model uncovers hidden patterns of political bias in online news

Flipboard

A new study published in PLOS One introduces a large-scale method for detecting political bias in online news sources using artificial intelligence.

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Microsoft’s long and patient hunt for the Lumma Stealer malware finally paid off big

Dataconomy

Microsoft and international law enforcement have executed a court-approved operation to dismantle Lumma Stealer, a widespread info-stealing malware that had infected over 394,000 Windows computers worldwide, with most cases reported in Brazil, Europe, and the U.S. Microsoft has been tracking Lumma Stealer since June 2023, and considered it a significant threat.

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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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Lower science funding so far in 2025

FlowingData

With a circular voronoi diagram, NYT’s the Upshot shows a much slower rate of funding from the National Science Foundation, through May 21. The full cells show the average funding over the past decade up to the same date, and the darker cells show the current funding. It looks like there are four categories with more funding than usual. Everything else is a big cut.

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Principal Financial Group increases Voice Virtual Assistant performance using Genesys, Amazon Lex, and Amazon QuickSight

AWS Machine Learning Blog

This post was cowritten by Mulay Ahmed, Assistant Director of Engineering, and Ruby Donald, Assistant Director of Engineering at Principal Financial Group. 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. Principal Financial Group is an integrated global financial services company with specialized solutions helping people, businesses, and institutions reach their long-term financial goals and access gre

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College English majors can't read

Hacker News

They have one job and they can't do it

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Why enterprise RAG systems fail: Google study introduces ‘sufficient context’ solution

Flipboard

Google's "sufficient context" helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for business applications.

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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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Debit card holds in the age of instant payments: A data systems breakdown

Dataconomy

Debit cards were designed to offer fast, seamless access to money. But despite the rise of instant payment technologies , many transactions still encounter holds temporary authorization requirements that freeze funds before final settlement. These holds often confuse users, especially when transactions appear pending long after the purchase. Understanding the underlying structure of debit holds helps consumers better navigate delays and potential overdraft risks.

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The Art of Writing Readable Python Functions

KDnuggets

If your functions need comments to be understood, its probably time for a rewrite. Learn the key habits that make Python functions readable by design.

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Understanding Base64

Analytics Vidhya

Base64 is a binary-to-text encoding methodology that helps represent binary data in ASCII string format. Its often used to encode data for transmission over media that are mostly text, like emails, JSON-based APIs, etc., so that binary data like images and files don’t get corrupted. The term Base64 comes from the fact that it uses […] The post Understanding Base64 appeared first on Analytics Vidhya.

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The metre originated in the French Revolution

Hacker News

The next time you pick up a bag of spuds from the supermarket or fill up the car with petrol, you can thank a treaty signed in 1875 for the metric system that underpins daily life.

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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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Navy wants AI tools to boost data processing, resource distribution

Flipboard

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navys Marine Operations Centers.

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Xiaomi just debuted its powerful in-house Xring O1 processor

Dataconomy

Xiaomi has unveiled its first in-house flagship chipset, the Xring O1, positioning itself as a direct competitor to Qualcomms Snapdragon 8 Elite. Alongside the new chip, Xiaomi introduced the 15S Pro phone and Pad 7 Ultra tablet, which will be powered by the Xring O1, and a new version of the Watch S4 utilizing another Xiaomi-developed chip. While not Xiaomis first chipset the company previously released the midrange Surge S1 in 2017 the Xring O1 represents a significant leap in power.

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SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models

Machine Learning Research at Apple

With the rapid expansion in the scale of large language models (LLMs), enabling efficient distributed inference across multiple computing units has become increasingly critical. However, communication overheads from popular distributed inference techniques such as Tensor Parallelism pose a significant challenge to achieve scalability and low latency.

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The Emotional Crossroads of AI Adoption: A Tipping Point for Data Professionals

ODSC - Open Data Science

Anyone whos paying attention knows that AI is revolutionizing industries. By unlocking unprecedented capabilities in automation, decision-making, and data analysis, new subfields are being born at a rapid pace. But as transformative as these technologies are, they also come with a cost, especially for the professionals expected to adapt overnight. In a recent survey conducted among data professionals, respondents were asked a simple yet telling question: How do you feel about the pace of AI ado

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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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Another way electric cars clean the air: study says brake dust reduced by 83%

Hacker News

A new study is out which quantifies just how much EVs help not just in cutting harmful exhaust emissions, but also cutting other types of pollution that come from personal vehicles. But of course, public transport, biking and walking are even better.

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Firefox 139 adds experimental AI-powered Link Previews, here’s how to try it

Flipboard

Today, Mozilla released Firefox 139.0, which brings an interesting AI-based feature: by pressing a keyboard shortcut, the browser opens a small pop-up with a preview of a links content. Heres how to test it out. A bit of context Browsers are quickly becoming the next battleground for AI features.

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AI might be hallucinating less than humans do

Dataconomy

Anthropic CEO Dario Amodei stated that current AI models hallucinate at a lower rate than humans do, according to TechCrunch. He made this claim during a press briefing at Anthropics inaugural developer event, Code with Claude, held in San Francisco on Thursday, amidst a broader discussion about the path towards Artificial General Intelligence (AGI).

AI 103
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What Makes for a Good Stereoscopic Image?

Machine Learning Research at Apple

This paper was accepted at the CV4Metaverse Workshop at CVPR 2025. With rapid advancements in virtual reality (VR) headsets, effectively measuring stereoscopic quality of experience (SQoE) has become essential for delivering immersive and comfortable 3D experiences. However, most existing stereo metrics focus on isolated aspects of the viewing experience such as visual discomfort or image quality, and have traditionally faced data limitations.

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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