Eugeniu Costetchi

Our next video is out! This is the first of a 2-part video in which Prof. Semih Salihoğlu explains about Resource Description Framework (RDF), a popular data model in graph DBMSs. If you're curious about graph modeling and are intimidated by the terminology used (especially when it comes to RDF), this video has you covered! ✅ Fundamentals of RDF: What are resources, URIs, literals, and (subject, predicate, object) triples, and how do these form a graph? ✅ Advantages of using RDF as a data model for complex and irregular domains and its flexibility in handling irregularities and connections between objects ✅ How RDF allows you to query both data and schema information in a uniform way. In the 2nd video (coming soon!), we will also go over RDF's powerful knowledge representation and reasoning capabilities, and their potential in the age of AI. Stay tuned! https://lnkd.in/gZM79U44

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Visualize data and processes in #Blazor apps. MindFusion #Diagramming for Blazor enables users to create and interact with visual representations of #processes, improving clarity.

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#ICYMI From data-oriented to domain-centric: explore the spectrum of #Java persistence patterns with Otavio Santana’s #InfoQ article: https://bit.ly/48he8vI Delve into Driver, Mapper, DAO, Active Record, and Repository for robust architectural foundations. #SoftwareDevelopment #SoftwareArchitecture #Frameworks

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📡 Open Collaboration: OpenProject + GitLab Integrate A new article on the OpenProject #GitLab integration has been published on OpenSource.net, supported by the Open Source Initiative (OSI). The article tells the open source success story of how Community contributor Benjamin Tey created a GitLab plugin for OpenProject out of his own need. And how – due to immense demand – this plugin was recently integrated into the OpenProject core. We are very happy and proud of our amazing open source Community. Only together we can achieve great things. 💙 https://lnkd.in/dyc28x8K

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[MSTS23] [Marco De Sanctis] ☑️Real world multi-tenant applications are conceptually simple, but hide lots of complexities under the hood: when confidential data of multiple clients coexist under the same platform, you must ensure that data is kept segregated at any layer of your architecture. During this talk we'll try to demystify some of these aspects, analysing how we can build a SaaS application in ASP.NET Core, secure it via Azure AD B2C, and deliver it via the Azure infrastructure. We'll investigate how to use policies in our server side logic and even at the database level (via SQL Server's Row Level Security) to ensure data is kept segregated even when running on a shared infrastructure. 🔹Topic: Running SaaS multi-tenant applications with ASP.NET Core and Azure 🔹Speaker: Marco De Sanctis ➡️https://lnkd.in/dM_uG7VF

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New article out! 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗖𝗼𝗺𝗽𝗼𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗥𝗼𝗯𝘂𝘀𝘁 𝗖𝗼𝗺𝗽𝗶𝗹𝗮𝘁𝗶𝗼𝗻 published in the Journal ACM Transactions on Programming Languages and Systems 🗣️​ DISI author: Marco Patrignani In this paper, the authors formally proves the connection between two frameworks largely used in cryptography: universal composability (UC) and robust compilation (RC); then, they explore the benefits of this connection (focussing on perfect, rather than computational UC). 📰 Read the full article ⏩ https://lnkd.in/e3vca-8M #newpaperout #disipublication #universalcomposability #securecompilation #criptography #formalmethods #unitrento #unitrentoDISI

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Announcing the pbi-tools 1.0.0 release! Highlights * Additional TMDL serialization settings * Supports latest TMDL preview (see https://lnkd.in/dA6S4J3j) * Windows executables are now digitally signed * Improvements to semantic model gateway binding * Core (and Docker) version upgraded to .Net 8.0 (LTS) * Various bugfixes Having reached the 1.0.0 milestone, strict semantic versioning is now being used for all subsequent releases. Note that this release comes with a license change to AGPL-3.0 (https://lnkd.in/d9zKrT67). If you use pbi-tools, as a compiled executable or the source code, please ensure you understand and abide by the license terms. GitHub release & download: https://lnkd.in/dQnVkvyT Docker container: https://lnkd.in/dNxEg4C5 Website: https://pbi.tools #pbitools #PowerBI #DevOps #TMDL

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#mdpisymmetry Check this newly published article "Explicit and Implicit Preference for Symmetry Across Object Categories" at https://brnw.ch/21wOqXR Authors: Marco Roccato et al. Università degli Studi di Padova #symmetry #preference #aesthetics #landscapes

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Federated Evaluation made easy with Flower 🌸 We dived into this topic with new docs and code on the 2️⃣ main approaches to evaluate models in FL systems: centralized (or server-side) evaluation ➕ federated (or client-side) evaluation 💻🔥 🧭 Explore how to implement both approaches: https://buff.ly/3UIZ4m4 👩🏽‍💻 Find code example here: https://buff.ly/3rBo7fv Do you need any clarification? Want to share your knowledge? Join the 🌼 Flower community today: https://buff.ly/3YONpTy or 👤 Log in to Flower Discuss: https://buff.ly/3ThujmD

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𝗔 𝗴𝗿𝗼𝘂𝗻𝗱𝗯𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗶𝗻 𝗔𝗜 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆! Anthropic has just revealed a detailed map of millions of concepts within their large language model, Claude Sonnet. This is a leap in understanding how AI LLM process and represent information. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? ➡️𝗨𝗻𝘃𝗲𝗶𝗹𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗹𝗮𝗰𝗸 𝗕𝗼𝘅: Uncover "black boxes." magic. ➡️ 𝗦𝗮𝗳𝗲𝘁𝘆 𝗙𝗶𝗿𝘀𝘁: Mitigate biases, ensure honesty, and prevent misuse. 𝗛𝗼𝘄 𝗱𝗶𝗱 𝘁𝗵𝗲𝘆 𝗱𝗼 𝗶𝘁? ➡️ 𝗗𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝘆 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Anthropic employed a technique called "dictionary learning" to identify recurring patterns of neuron activations, representing concepts within the model. ➡️ 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗨𝗽: They overcame engineering challenges and scientific risks to apply this technique to a massive language model like Claude Sonnet. ➡️ 𝗠𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗻𝗴 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: By amplifying or suppressing specific features, researchers observed changes in Claude's behavior, confirming the causal relationship between these features and the model's understanding of the world. This breakthrough by Anthropic is a significant step towards building more transparent, trustworthy, and safer AI systems. So, what are your thoughts on this development in AI? Engage below, share your insights, or like if you share our excitement for the future of AI! Let's keep the conversation flowing! Read the full paper here: https://lnkd.in/ejgZZV7A #ai #llm #anthropic #AiExponent

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Discover how #SingleStore and #Confluent together create a powerful foundation for real-time generative #AI applications. https://lnkd.in/d9mNMXdv #GenAI #DataPlatform #Database

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{✒NEW BLOG} What are the limitations of #MariaDB #ColumnStore, a lightning-fast analytical solution built on MariaDB? While ColumnStore is definitely worth using, this blog post will help you set the right expectations: https://lnkd.in/e-urmSvM #MySQL #MySQLDBA #dataanalytics #datascience #SQL #database #databases

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⭐️ New video release 📺: Refactoring Large Programs Watch Dr. Kristian Rother guide you through refactoring a large, messy, and undocumented Python program, offering valuable insights and strategies for your next big refactoring challenge. 📺 Watch the video on YouTube: https://lnkd.in/emjn58cb Kristian, a freelance Python trainer, presented a tutorial on refactoring large programs at a recent event. He addressed the challenge of cleaning up complex software with 10,000-100,000 lines of code, particularly in the case of legacy code. The tutorial focused on practical procedures such as code review, writing minimal tests, adding type annotations, and isolating cleanable parts from problematic sections. Kristian emphasized the systematic approach to large-scale refactoring, highlighting that while it is difficult and costly, it can be tackled methodically. The session, aimed at those with fluency in basic Python, included interactive elements and practical exercises for attendees to enhance their refactoring skills. Participants were provided with the messy code and refactoring guidelines through GitHub for hands-on learning.

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⏰ Only 3 minutes left! Webinar: "The importance of interoperability and compatibility in database systems" will be started soon! 🔗 https://lnkd.in/eMDP7gwf

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Our larger goal at Kùzu Inc. is to make graph databases and knowledge graphs accessible to a much larger community, through our focus on ease-of-use, scalability and performance. Toward this end, Semih Salihoğlu is preparing a series of videos introducing the core concepts of #graph databases and their feature set. ✅ If you are new to graph databases, this series is a great way to become familiar with the key concepts to get started with graphs. ✅ If you're familiar with graph data models, this series is a great way to understand the principles behind Kùzu and to begin using it in your projects. The first video in the series is now out! Give it a watch, and share around 🤝🏽. Subscribe to our YouTube channel for more such videos to be released in the coming weeks! https://lnkd.in/gqdGTqYf Video: https://lnkd.in/gsejgP8w Kùzu GitHub: https://lnkd.in/dUXZH6sT

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