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  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
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  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
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  • 1 month ago · ai

    Building production AI on Google Cloud TPUs with JAX

    !JAX logohttps://storage.googleapis.com/gweb-developer-goog-blog-assets/images/JAX_logo.original.jpg JAX has become a key framework for developing state‑of‑the‑...

    #JAX #TPU #Google Cloud #machine learning #AI stack
  • 1 month ago · ai

    [Paper] QL-LSTM: A Parameter-Efficient LSTM for Stable Long-Sequence Modeling

    Recurrent neural architectures such as LSTM and GRU remain widely used in sequence modeling, but they continue to face two core limitations: redundant gate-spec...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    **Challenging the Transparency Conundrum: An AI Ethics Dilem

    Scenario Imagine a medical AI system that diagnoses and recommends treatments for rare genetic disorders. The system’s performance is exceptional, with a high...

    #AI ethics #transparency #explainability #medical AI #machine learning #privacy #genetic data
  • 1 month ago · ai

    Unlocking Modern AI Potential with the Gemini 3 Pro Preview API

    Artificial intelligence is rapidly evolving, and businesses are actively seeking powerful tools that can support automation, improve customer experiences, and e...

    #Gemini 3 Pro #AI API #large language model #machine learning #business automation
  • 1 month ago · ai

    The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor

    During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learnin...

    #decision tree #regression #machine learning #supervised learning #ML models
  • 1 month ago · ai

    My Learnings from the 5-Day AI Agents Intensive Course

    Overview From a beginner’s perspective, the 5‑Day AI Agents Intensive was more than a learning program — it was a complete mindset shift. Before joining, AI fe...

    #AI agents #AI education #machine learning #LLM #automation #workflow #developer learning
  • 1 month ago · ai

    Crack the Code with Intelligent K: Uncover Pattern Secrets in Your Data

    Discovering Hidden Patterns with Intelligent K-Means Clustering As data scientists and machine learning practitioners, we often find ourselves faced with large...

    #k-means #clustering #unsupervised learning #machine learning #data science #pattern detection #intelligent k-means
  • 1 month ago · ai

    AWS re:Invent 2025 - Amazon Nova Forge: Build your own frontier models using Amazon Nova (AIM3325)

    Overview AWS re:Invent 2025 – Amazon Nova Forge: Build your own frontier models using Amazon Nova AIM3325 In this session, Mark Andrews and Karan Bhandarkar in...

    #AWS #Amazon Nova #foundation models #custom AI models #SageMaker #re:Invent 2025 #machine learning #AI training #data injection
  • 1 month ago · ai

    AI Cracks the Sphere-Packing Puzzle: A New Approach to Maximizing Density

    Imagine trying to pack oranges into a box as efficiently as possible. Now, extend that to higher dimensions, where visualization becomes impossible. The questio...

    #AI #sphere packing #optimization #machine learning #mathematical discovery #model-based reinforcement learning
  • 1 month ago · ai

    Discover Hidden Patterns with Intelligent K-Means Clustering

    What is Clustering Clustering is a type of unsupervised machine learning technique that groups similar data points together. Clustering helps you automatically...

    #k-means #clustering #unsupervised learning #machine learning #pattern detection #data mining
  • 1 month ago · ai

    [Paper] Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms

    In the era of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures are gaining significant attention for their ability to ground lan...

    #research #paper #ai #machine-learning #nlp
  • 1 month ago · ai

    [Paper] Training-Time Action Conditioning for Efficient Real-Time Chunking

    Real-time chunking (RTC) enables vision-language-action models (VLAs) to generate smooth, reactive robot trajectories by asynchronously predicting action chunks...

    #research #paper #ai #machine-learning

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