Karen VARDANYAN

A little preview of the next big release of Apache Doris 👀 : It will support the compute-storage decoupled mode. #cloudcompute #database #dataengineering #opensource #S3 #HDFS #MinIO

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Anthropic’s Claude 3.5 Sonnet Surpasses GPT-4o in Benchmarks Anthropic has introduced Claude 3.5 Sonnet, a mid-tier model that not only outperforms its competitors but also exceeds the performance of Anthropic’s own Claude 3 Opus in multiple evaluations. Claude 3.5 Sonnet is freely available on Claude.ai and the Claude iOS app, with higher rate limits for subscribers of the Claude Pro and Team plans. It can also be accessed via the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. The pricing is set at $3 per million input tokens and $15 per million output tokens, with a context window of 200K tokens. According to Anthropic, Claude 3.5 Sonnet sets new standards in graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). The model excels in understanding nuances, humor, and complex instructions, while consistently generating high-quality, naturally-toned content. #AI #LLM #Anthropic #gpt #Claude 3.5

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BraineryWiz New version released. In this version, supports can be plotted using supports_size option for #BrianeryWiz Python version and SupportSize option for #BraineryWiz TCL version. So, #OpenSees users can now check their support definition more efficient. New features will be added soon in the future versions. Features like, stress and strain contours for shell and volume elements or multiple mode shapes plot. Let us know what other feature you need! Thanks Sahar Ebrahimi for the time you assigned for testing BraineryWiz TCL version. Documents: https://lnkd.in/dXxBjy4Q

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📢Remote Sensed and/or Global Datasets for Distributed #HydrologicalModelling: A Review by Muhammad Haris Ali, Ioana Popescu, Andreja Jonoski and Dimitri P. Solomatine https://lnkd.in/e9FEM4a3 #hydrology

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probabl, a spin-off of French research center Inria, is overseeing a global #opensource data science library called scikit-learn, an approach widely used for performing complex #AI and #machinelearning tasks. If it succeeds, Probabl’s library could end up helping Europe achieve its goal of technology sovereignty and pave the way for an alternative to the offerings of #U.S. and #Chinese#AI giants. Only two other such libraries exist in the world, at that scale: one created by Google, called #Tensorflow and another called #PyTorch created by Meta, which powers, among other things, OpenAI’s ChatGPT and Tesla’s autopilot. While not covering the same machine learning techniques, the open source scikit-learn library is ahead of both in popularity and usage. According to independent measurement by Pypistats.org the open source scikit-learn library backed by Inria, supported by a global community of contributors, and now overseen by Probabl, has been downloaded 1.5 billion times, averaging 65 million per month (22% from the U.S., 25% from China and 3% from France). It creates more dependencies than PyTorch and Tensorflow combined. Dependencies are the number of projects and packages that depend on scikit-learn, i.e. where scikit-learn is a core component that helps build additional value. Since it’s middleware and popular, it is foundational to nearly a million projects and 15,000 “packages” (i.e. projects that are more structured and significant). “We need to take advantage of open source to minimize dependencies on monolithic, proprietary and captive technologies,” says serial entrepreneur and Probabl CEO Yann Lechelle. “The U.S. enjoys near supremacy when it comes to #chips, #Cloud and #software. This isn’t great for #Europe or any other nation for that matter. If you don’t control your technological infrastructure, you have no sovereignty.” https://lnkd.in/ebbQqtQZ

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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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Read the latest VMblog article, "Open Beats Closed: How #OpenSource Is Changing #DataManagement" by Sida Shen of CelerData. https://lnkd.in/gEUPBFhx #DataAnalytics #DataEngineering #DataLakeAnalytics #DataLake #DataLakehouse

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"Open beats closed, easy beats hard, and cheap beats expensive." Discover why open source data lakehouses are the future in Sida Shen's latest article. Learn how flexibility, innovation, and transparency are driving the next wave of data management 🔓 https://lnkd.in/gEUPBFhx #DataAnalytics #DataEngineering #DataLakeAnalytics #DataLake #DataLakeHouse

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🅰1000: New #acceleration #platform launched in June, 2023 for #enablinginnovations in #deeptech. Please check, apply for COHORT #1 and join our ecosystem: https://lnkd.in/eGWmaeaJ  #deeptech - a category of #innovation that develop new products based “on scientific discovery or meaningful engineering innovation”. Fingers crossed. It is a long way ahead, again. Important task and huge #impact intentions, again. In terms of innovative technologies development, as well as community of #deeptech #experts #investors. Our #technological #verticals focus is unlimited: Agrotech, Biotech, Edtech, Energytech, Govtech, Proptech, Spacetech etc. Our #industrial focus: all industrial applications of deeptech innovative technologies (AI, AT, Blockchain, Robotics, Genetics, etc.). Please join ABC Venture Studio ecosystem as a #Scientist, or #TechnologicalEntrepreneur, or #Investor, or #Expert (#Mentor / #Tracker), or #IndustrialPartner and let's create novelty with #impact!

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[INTRODUCTION TO GENERATIVE AI] 🚀 Thrilled to share the key insights from our recent Generative AI presentation! Our Data Scientist khadija hader delivered an engaging session, focusing on: 🌟 Generative AI Overview: Unpacking core principles and innovative capabilities. 🔍 Technical Deep Dive: Exploring the architecture and mechanics of AI models. 🏥 Healthcare Impact: Showcasing AI's role in personalized treatments, enhanced imaging, and Annotations progress. 🎯 The presentation concluded with a forward-looking perspective on the future of Generative AI in healthcare. We discussed emerging trends, ethical considerations, and the collaborative efforts needed to harness AI’s full potential while ensuring patient safety and data privacy. 🙏A huge thank you to everyone who attended and participated in the discussion! Your insights and questions made the session truly enriching. 💬 If you're passionate about AI and its applications in healthcare, let's connect and continue the conversation! Feel free to share your thoughts and experiences in the comments below. #GenerativeAI #HealthcareInnovation #TechTalk #FutureOfHealthcare

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SynthEval: Revolutionizing Tabular Synthetic Data Evaluation in the Machine Learning Landscape #AI #AItechnology #artificialintelligence #Evaluation #framework #llm #machinelearning #opensource #Privacy #syntheticdata #SynthEval

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Four days to go until PGconf.EU call for papers closes. Don't miss the opportunity to give a talk at the biggest PostgreSQL conference in Europe. Submit your abstract by Monday EOD! Here are examples for talk topics: - Developing applications with or for PostgreSQL - Administering large scale PostgreSQL installations - Case studies and/or success stories of PostgreSQL deployments (or interesting failures) - Tools and utilities - PostgreSQL internals hacking - Community and local user groups - Tuning and performance improvements - Migration from other database systems - Replication, clustering and high availability - Recovery and backup strategies - Benchmarking and hardware - PostgreSQL related products - DevOps and continuous deployment/configuration/integration around PostgreSQL #postgres #postgresql

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Join us from June 3 - 7 for an #onlinecourse to learn about text mining, its theory, concepts, and applications. The course focuses on the acquisition, processing, and mining of textual data with #KNIME Analytics Platform. Register at https://brnw.ch/21wKalZ #textprocessing #textmining

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