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

    [Paper] Zer0n: An AI-Assisted Vulnerability Discovery and Blockchain-Backed Integrity Framework

    As vulnerability research increasingly adopts generative AI, a critical reliance on opaque model outputs has emerged, creating a 'trust gap' in security automat...

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

    [Paper] MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning

    Log parsing converts semi-structured logs into structured templates, forming a critical foundation for downstream analysis. Traditional syntax and semantic-base...

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

    Don't fall into the anti-AI hype

    Article URL: https://antirez.com/news/158 Comments URL: https://news.ycombinator.com/item?id=46574276 Points: 33 Comments: 4...

    #AI hype #anti-AI sentiment #technology trends #machine learning #public perception
  • 1 week ago · ai

    Building Interview prep ai

    markdown Introduction: Revolutionizing Technical Interview Preparation The journey to landing a dream role in tech often hinges on mastering the technical inter...

    #interview preparation #AI tutoring #technical interview #machine learning #smart learning #AI feedback
  • 1 week ago · ai

    [Paper] MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences

    While autonomous software engineering (SWE) agents are reshaping programming paradigms, they currently suffer from a 'closed-world' limitation: they attempt to ...

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

    [Paper] Comparative Separation: Evaluating Separation on Comparative Judgment Test Data

    This research seeks to benefit the software engineering society by proposing comparative separation, a novel group fairness notion to evaluate the fairness of m...

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

    [Paper] A Backpropagation-Free Feedback-Hebbian Network for Continual Learning Dynamics

    Feedback-rich neural architectures can regenerate earlier representations and inject temporal context, making them a natural setting for strictly local synaptic...

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

    The Death of the Loop: Why Senior Data Scientists Think in Vectors

    In traditional software development, iteration is king. We are taught to think sequentially: take an item, process it, store the result, and move to the next. H...

    #data science #vectors #machine learning #big data #linear algebra #Python
  • 1 week ago · ai

    [Paper] HiDVFS: A Hierarchical Multi-Agent DVFS Scheduler for OpenMP DAG Workloads

    With advancements in multicore embedded systems, leakage power, exponentially tied to chip temperature, has surpassed dynamic power consumption. Energy-aware so...

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

    Erdos problem #728 was solved more or less autonomously by AI

    Article URL: https://mathstodon.xyz/@tao/115855840223258103 Comments URL: https://news.ycombinator.com/item?id=46560445 Points: 129 Comments: 67...

    #Erdos problem #automated theorem proving #AI mathematics #machine learning #symbolic reasoning
  • 1 week ago · ai

    “Erdos problem #728 was solved more or less autonomously by AI”

    Article URL: https://mathstodon.xyz/@tao/115855840223258103 Comments URL: https://news.ycombinator.com/item?id=46560445 Points: 198 Comments: 139...

    #Erdos problem #AI #automated theorem proving #machine learning #mathematics
  • 1 week ago · ai

    [Paper] Manifold limit for the training of shallow graph convolutional neural networks

    We study the discrete-to-continuum consistency of the training of shallow graph convolutional neural networks (GCNNs) on proximity graphs of sampled point cloud...

    #research #paper #ai #machine-learning

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