Jonas Kjær Rask

🚀 𝗢𝘂𝘁 𝗻𝗼𝘄: 𝗧𝘄𝗼 𝗵𝗲𝗶𝘀𝗲 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀 𝗼𝗻 𝗟𝗟𝗠 Alexander Schatten, senior researcher at SBA Research, and Marco Jeppe Reiser have published an interesting article: 📰 𝗪𝗵𝗮𝘁 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗮𝘁 𝗽𝗿𝗼𝗺𝗽𝘁 𝗹𝗲𝘃𝗲𝗹 𝗹𝗲𝗮𝗱𝘀 𝘁𝗼 Where can AI systems really help programmers, and is the approach taken here truly novel? This article examines their role. Programming involves interpreting real-world problems and processes, abstracting them, and then translating them into a deterministic language understood by technical systems. The goal is to automate tasks and processes and interact with people or other systems as needed. Besides understanding the real-world problem, programming also requires technical consideration of advantages and disadvantages, costs, legal frameworks, dependencies, and more. Actual coding is only a small part of the whole process. Alexander Schatten's second article on heise online explores the role of LLMs in software development. 📰 𝗟𝗟𝗠𝘀 𝗶𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗯𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲𝘆 𝗵𝗮𝘃𝗲 𝗳𝗮𝗶𝗹𝗲𝗱 Software systems are a combination of hardware, software, and the people who develop, maintain, and use these systems. This interaction of the three factors creates benefits and the possibility of further system development. Early on, software exhibited characteristics not observed in other technical systems. The first software crisis in the 1960s revealed that hardware and software capabilities were growing faster than those of human engineers, a crisis from which we have not yet fully emerged. One reason is the ever-increasing complexity of software itself and the complexity created by software and its increasing networking with other systems, affecting software further. Get the full articles here:   https://lnkd.in/gA2hHCBb   https://lnkd.in/giAV6f8C    Both articles will soon be published in iX magazine. 📷: Marcel Lehner 

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🚀 Exciting News! 🚀 We are thrilled to announce that Kumo AI's position paper "Relational Deep Learning: Graph Representation Learning on Relational Databases," has been accepted at #ICML 2024! 🎉 Join us in Vienna from July 21-27, where our very own Matthias Fey will be presenting this exciting new research area. 🔗 https://icml.cc/ In collaboration with Stanford University, we introduce Relational Deep Learning (#RDL), a new research area for applying deep learning on relational databases by viewing them as temporal, heterogeneous graphs. This method eliminates the need for manual feature engineering, leading to more accurate models built faster. 🚀 We’ve also developed #RelBench, a benchmark suite to facilitate research in this new area, using diverse datasets from Stack Exchange discussions to Amazon book reviews. 📚 Stay tuned for more updates on our presentation format, and check out our paper here: https://lnkd.in/dk24vbSg #ICML2024 #MachineLearning #AI #GraphNeuralNetworks #RelationalDeepLearning #DataScience #KumoAI #StanfordCollaboration

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📅 On 07.11.2024, we invite you to the ScaDS.AI Dresden/Leipzig training "Big Data Processing on HPC" with Apurv Kulkarni and Wenyu Zhang. Apache Spark and Apache Flink are two typical #BigData analytics frameworks. Their APIs allow the development and testing of an application on a local workstation and later, without changing the source code of the application, distribute work to many computers when the local workstation is not sufficient anymore due to limited resources. The course focuses on the step from a local workstation to an #HPC environment and presents how the typical Big Data analysis workflow can be organized in an HPC environment. In this course participants will be introduced to running a data pipeline and data processing along with managing the configurations on the HPC environment, using Apache Flink and Apache Spark. Register here: 👉 https://lnkd.in/eYfmiMT8

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AnchorGT: A Novel Attention Architecture for Graph Transformers as a Flexible Building Block to Improve the Scalability of a Wide Range of Graph Transformer Models Quick read: https://lnkd.in/gFiQyv8a Paper: https://lnkd.in/gsJqpi5F #machinelearning #ai

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🔎 𝗫𝗔𝗜 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝟮𝟬𝟮𝟱 - 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗧𝗿𝗮𝗰𝗸 𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁: Debugging and improving models with xai 🖥️ ✏️ 𝗔𝘂𝘁𝗵𝗼𝗿𝘀: @christopher j anders Sebastian Lapuschkin Frederik Pahde Maximilian Dreyer Lorenz Linhardt 🔗 𝗟𝗲𝗮𝗿𝗻 𝗠𝗼𝗿𝗲 𝗛𝗲𝗿𝗲: https://lnkd.in/dz2UZf9T This track aims to debug, modify, and evaluate machine learning models to enhance their performance and reliability using eXplainable AI (XAI) techniques. The topics include, but are not limited to, (1) identifying and mitigating the effect of learned spurious correlations (also known as Clever Hans effect or shortcut learning) and distribution shifts in the data, (2) diagnosing failure modes and edge cases leading to undesired model behaviour, and (3) improving models through targeted corrections. For each of these points, XAI methods serve as a critical foundation, as they enable to understand model decision strategies (and their flaws), and to identify critical parts of the model or data set that are most amenable to improvement. Additionally, this track covers the development and application of rigorous evaluation methods for verifying that the enhancements achieve the intended outcomes. Join us to discuss best practices, emerging tools, innovative techniques, and case studies showcasing how thoughtful model refinement can lead to fair, robust, and responsible AI solutions. #XAI #debug #machinelearning #spurious #correlations #cleverhans #understanding #model #decisions #artificialintelligence

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Book your space on our upcoming 3-day Systems Architecting Course in Zürich! LEARNING OUTCOMES What is systems architecture and how does it differ from the system design? How does it relate to Systems and Holistic Thinking? What makes a good architecture: how many architectures do we need?​ What makes up a good architecture so important in the context of complex systems?​ Why are Interfaces such a fundamental concept in Systems Architectures?​ What is the relationship between the Operational Architecture and systems control?​ Can/should we develop the architectures for a system and its Digital Twin together?​ How does it help with decision making for an uncertain development environment?​ Why is it important to develop variants and provide variation points and how do they relate to the interfaces?​ What is a logical and repeatable methodology to develop architectures?​ How can we model the architectures? Do we need MBSE? Do we need tools?​ How can we ensure that the models are consistent and connected?​ Where can one customise the architectures?​ When is an agile approach permissible, when should you take extreme caution?​ How do architectures help developing the system for safety, reliability, availability, maintainability, and inspectability?​ Why is it important to separate the system’s (sometimes called “logical”) from the physical architectures?​ How do all architecture map to the others? Why is mapping a powerful mechanism in developing for complexity?​ What is the timing relationship between the various system (logical) architectures and the physical design?​ What are the main skills of a senior Systems Architect?​ Email us: info@se-training.net Full course details: https://lnkd.in/gn6rEvja #systemarchitecting #systemsengineering

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💡 Top Tip to Debug Faster with UDB 💡 Tracking down unexpected values in memory is like looking for a needle in a haystack. The bad write is often nowhere near where the error shows up. In the most frustrating cases, the corruption may have happened minutes (millions of lines of executed code!) before the crash. Use the “last” command to find out when a bad value was written. This rewinds history to take you directly to what you want to see – the code that last changed a variable: 👉 Learn more at https://hubs.ly/Q02y-J8T0

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Here is this month’s list of where you can find us for more impactful sessions! Check us out and stay tuned for more details + how to register. 📍 VoxxedDays CERN in Geneva, Switzerland: “TrashTalk - Exploring the JVM memory management” January 14th, 2025 📍 JUG Oberpfalz, Germany: “TrashTalk - Exploring the JVM memory management” January 21st, 2025 📍 PrimeForce Webinar, Zurich, Switzerland: “Wargames - Java vulnerabilities and why you should care” January 28th, 2025 #AzulEvents #JVM #Java #JavaDeveloper #JavaVulnerabilities #Javasupport

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