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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.
This has been a very long time coming, but finally, after a marathon effort, the brand new Have I Been Pwned website is now live ! Feb last year is when I made the first commit to the public repo for the rebranded service, and we soft-launched the new brand in March of this year. Over the course of this time, we've completely rebuilt the website, changed the functionality of pretty much every web page, added a heap of new features, and today, we're even launching a merch store 😎
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.
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.
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.
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.
Google search has been an anchor for web searches across the world. Processing around 14 billion searches per day and around 2 trillion searches annually. Lets put that into perspective: 14 billion searches in a day is more than double the heartbeats of the entire human race per second! Google search is the pulse of […] The post Google Searchs Two New AI Features: AI Overview and AI Mode appeared first on Analytics Vidhya.
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.
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
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.
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.
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.
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.
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.
In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group , a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities.
Data splitting is a fundamental technique in the field of machine learning and data science that allows practitioners to evaluate and improve the performance of their models. This approach involves dividing a dataset into distinct subsets, ensuring models can learn from one part while being evaluated on another, thus preventing overfitting. Understanding the intricacies of data splitting can significantly influence the robustness and reliability of predictive models.
Thank you to Bucknell University for inviting me to be this year's commencement speaker. And congratulations to the Class of 2025! Watch the speech on YouTube. Thirty-two.
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?
Training manipulation policies for humanoid robots with diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot demonstrations is labor-intensive, requiring expensive tele-operated data collection which is difficult to scale. This paper investigates a more scalable data source, egocentric human demonstrations, to serve as cross-embodiment training data for robot learning.
A new memory model called Input-Driven Plasticity (IDP) offers a more human-like explanation for how external stimuli help us retrieve memories, building on the foundations of the classic Hopfield network.
Home Table of Contents Build a Search Engine: Semantic Search System Using OpenSearch Introduction Why Semantic Search? (Beyond Keyword Matching) How Semantic Search Works What Are Embeddings? Sentence Embeddings in Action Nearest Neighbors and Semantic Search How OpenSearch Performs Semantic Search How OpenSearch Uses Neural Search and k-NN Indexing Understanding the Workflow Why Does This Matter for Movie Search?
Fuzzy logic is a fascinating area of study that breaks away from the traditional binary classifications of truth. Unlike Boolean logic, which relies on strict true or false values, Fuzzy Logic recognizes that truth can exist in varying degrees. This nuanced understanding allows for more complex reasoning and better approximates human thought processes, which often deal with uncertainty and ambiguity.
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!
Foundation Models have completely taken over unstructured data domains like natural language and images, delivering significant advances in performance across tasks with little to no task-specific training. Yet structured and semi-structured relational data, which represent some of the most valuable information assets, largely miss out on this AI wave.
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.
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
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
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