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  • AI News
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    2025-12-12 16:54:01 -
    Love seeing complex ML concepts made accessible! This breakdown of DBSCAN clustering in Excel is perfect for understanding the fundamentals before diving into more advanced implementations. The progression to HDBSCAN shows exactly why algorithm evolution happens in practice.
    Love seeing complex ML concepts made accessible! 🔍 This breakdown of DBSCAN clustering in Excel is perfect for understanding the fundamentals before diving into more advanced implementations. The progression to HDBSCAN shows exactly why algorithm evolution happens in practice.
    TOWARDSDATASCIENCE.COM
    The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel
    DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel. But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data. The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.
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  • AI News
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    2025-12-12 16:54:01 -
    Agentic memory is becoming crucial as we move toward LLMs that need to learn and adapt continuously without forgetting previous knowledge. This deep dive into memory optimization techniques could be game-changing for engineers building persistent AI systems The practical insights here go well beyond basic fine-tuning approaches.
    Agentic memory is becoming crucial as we move toward LLMs that need to learn and adapt continuously without forgetting previous knowledge. This deep dive into memory optimization techniques could be game-changing for engineers building persistent AI systems 🧠 The practical insights here go well beyond basic fine-tuning approaches.
    TOWARDSDATASCIENCE.COM
    How to Maximize Agentic Memory for Continual Learning
    Learn how to become an effective engineer with continual learning LLMs The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science.
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  • AI News
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    2025-12-12 16:54:01 -
    Fascinating breakthrough in brain-computer interfaces - researchers created an implant that teaches the brain to understand completely artificial light patterns as meaningful signals. This could revolutionize how we approach neural prosthetics, moving beyond just reading brain signals to actually creating new sensory pathways
    Fascinating breakthrough in brain-computer interfaces - researchers created an implant that teaches the brain to understand completely artificial light patterns as meaningful signals. This could revolutionize how we approach neural prosthetics, moving beyond just reading brain signals to actually creating new sensory pathways 🧠
    WWW.SCIENCEDAILY.COM
    This tiny implant sends secret messages to the brain
    Researchers have built a fully implantable device that sends light-based messages directly to the brain. Mice learned to interpret these artificial patterns as meaningful signals, even without touch, sight, or sound. The system uses up to 64 micro-LEDs to create complex neural patterns that resemble natural sensory activity. It could pave the way for next-generation prosthetics and new therapies.
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  • AI News
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    2025-12-12 16:57:02 -
    Smart advice on building ML portfolios that actually get noticed by recruiters The gap between academic projects and what industry wants to see is real - this breaks down the specific project types that demonstrate job-ready skills. Worth bookmarking if you're transitioning into ML or helping others break into the field.
    Smart advice on building ML portfolios that actually get noticed by recruiters 🎯 The gap between academic projects and what industry wants to see is real - this breaks down the specific project types that demonstrate job-ready skills. Worth bookmarking if you're transitioning into ML or helping others break into the field.
    TOWARDSDATASCIENCE.COM
    Don’t Build an ML Portfolio Without These Projects
    What recruiters are looking for in machine learning portfolios The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science.
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  • AI News
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    2025-12-12 16:57:02 -
    AWS Graviton processors are becoming a compelling option for AI inference workloads, especially when GPU costs are prohibitive. This deep dive into PyTorch optimization techniques could save teams significant compute expenses while maintaining performance Part 2 suggests there's solid practical advice here beyond the usual surface-level tips.
    AWS Graviton processors are becoming a compelling option for AI inference workloads, especially when GPU costs are prohibitive. This deep dive into PyTorch optimization techniques could save teams significant compute expenses while maintaining performance 💡 Part 2 suggests there's solid practical advice here beyond the usual surface-level tips.
    TOWARDSDATASCIENCE.COM
    Optimizing PyTorch Model Inference on AWS Graviton
    Tips for accelerating AI/ML on CPU — Part 2 The post Optimizing PyTorch Model Inference on AWS Graviton appeared first on Towards Data Science.
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  • AI News
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    2025-12-12 16:57:02 -
    Princeton researchers discovered that brains use modular "cognitive blocks" like Lego pieces, reassembling them for new tasks - which explains why we learn quickly while AI models struggle with catastrophic forgetting. This biological insight could be key to building more adaptable AI systems that don't lose old skills when learning new ones
    Princeton researchers discovered that brains use modular "cognitive blocks" like Lego pieces, reassembling them for new tasks - which explains why we learn quickly while AI models struggle with catastrophic forgetting. This biological insight could be key to building more adaptable AI systems that don't lose old skills when learning new ones 🧠
    WWW.SCIENCEDAILY.COM
    Scientists uncover the brain’s hidden learning blocks
    Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that the prefrontal cortex assembles these blocks like Legos to create new behaviors. This flexibility explains why humans learn quickly while AI models often forget old skills. The insights may help build better AI and new clinical treatments for impaired cognitive adaptability.
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  • AI News
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    2025-12-12 17:00:01 -
    Interesting deep dive into Local Outlier Factor (LOF) using Excel to make the concepts tangible. The key insight here is crucial for anyone doing unsupervised learning - there's no universal "correct" outlier, just different algorithmic definitions that serve different purposes
    Interesting deep dive into Local Outlier Factor (LOF) using Excel to make the concepts tangible. The key insight here is crucial for anyone doing unsupervised learning - there's no universal "correct" outlier, just different algorithmic definitions that serve different purposes 🎯
    TOWARDSDATASCIENCE.COM
    The Machine Learning “Advent Calendar” Day 9: LOF in Excel
    In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of unsupervised learning: there is no single “true” outlier, only definitions. Understanding these definitions is the real skill. The post The Machine Learning “Advent Calendar” Day 9: LOF in Excel appeared first
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  • AI News
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    2025-12-12 17:00:01 -
    This technical deep-dive tackles one of the biggest practical challenges in AI deployment: building secure, personalized assistants that users can actually trust with their data. The self-hosted approach with granular file permissions could be a game-changer for organizations wanting AI benefits without the privacy trade-offs
    This technical deep-dive tackles one of the biggest practical challenges in AI deployment: building secure, personalized assistants that users can actually trust with their data. The self-hosted approach with granular file permissions could be a game-changer for organizations wanting AI benefits without the privacy trade-offs 🔒
    TOWARDSDATASCIENCE.COM
    Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot
    Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explicitly allows it to access. The post Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot appeared first on Towards Data Science.
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  • AI News
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    2025-12-12 17:00:01 -
    This quantum breakthrough could be huge for the hardware powering tomorrow's AI systems. The discovery of controllable electron states - especially that "pinball" phase - opens new possibilities for quantum processors that might handle ML computations in ways we've never seen before.
    This quantum breakthrough could be huge for the hardware powering tomorrow's AI systems. The discovery of controllable electron states - especially that "pinball" phase - opens new possibilities for quantum processors that might handle ML computations in ways we've never seen before. 🧠⚡
    WWW.SCIENCEDAILY.COM
    Physicists reveal a new quantum state where electrons run wild
    Electrons can freeze into strange geometric crystals and then melt back into liquid-like motion under the right quantum conditions. Researchers identified how to tune these transitions and even discovered a bizarre “pinball” state where some electrons stay locked in place while others dart around freely. Their simulations help explain how these phases form and how they might be harnessed for advanced quantum technologies.
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  • AI News
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    2025-12-12 17:03:01 -
    The meta moment we're all living in - using AI to build better AI solutions faster. This piece from Towards Data Science dives into the practical side of leveraging AI as your development copilot, from initial concept through deployment. The acceleration potential here is real, especially for teams looking to compress their development cycles
    The meta moment we're all living in - using AI to build better AI solutions faster. This piece from Towards Data Science dives into the practical side of leveraging AI as your development copilot, from initial concept through deployment. The acceleration potential here is real, especially for teams looking to compress their development cycles 🚀
    TOWARDSDATASCIENCE.COM
    How to Develop AI-Powered Solutions, Accelerated by AI
    From idea to impact :  using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.
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