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  • Software (11185) +102
  • IT (5838) +28
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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 week ago · ai

    [Paper] Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids

    Achieving robust humanoid hiking in complex, unstructured environments requires transitioning from reactive proprioception to proactive perception. However, int...

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

    [Paper] Pheromone-Focused Ant Colony Optimization algorithm for path planning

    Ant Colony Optimization (ACO) is a prominent swarm intelligence algorithm extensively applied to path planning. However, traditional ACO methods often exhibit s...

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

    [Paper] FROAV: A Framework for RAG Observation and Agent Verification - Lowering the Barrier to LLM Agent Research

    The rapid advancement of Large Language Models (LLMs) and their integration into autonomous agent systems has created unprecedented opportunities for document a...

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

    [Paper] OpenTinker: Separating Concerns in Agentic Reinforcement Learning

    We introduce OpenTinker, an infrastructure for reinforcement learning (RL) of large language model (LLM) agents built around a separation of concerns across alg...

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

    [Paper] Controlled Self-Evolution for Algorithmic Code Optimization

    Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...

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

    [Paper] Controlled Self-Evolution for Algorithmic Code Optimization

    Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...

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

    [Paper] Controlled Self-Evolution for Algorithmic Code Optimization

    Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...

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

    Building AI Agents in 2025: From ChatGPT to Multi-Agent Systems

    markdown !Muhammad Zulqarnain Akramhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.ama...

    #AI agents #multi-agent systems #ChatGPT #autonomous systems #machine learning #LLM #production-ready AI #2025
  • 1 week ago · ai

    [Paper] A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems

    The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are develo...

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

    A Tier List for Company AI Strategies.

    !Cover image for A Tier List for Company AI Strategies.https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%...

    #AI strategy #company adoption #tier list #machine learning #AI implementation #tech leadership
  • 1 week ago · ai

    Sampling at negative temperature

    Article URL: https://cavendishlabs.org/blog/negative-temperature/ Comments URL: https://news.ycombinator.com/item?id=46579374 Points: 3 Comments: 0...

    #sampling #negative temperature #generative models #diffusion models #machine learning #probability
  • 1 week ago · ai

    Introduction: Analyzing randomness with AI

    Hello everyone! 👋 I'm currently working on NichebrAI, a project where I'm experimenting with machine learning models to analyze historical data from lotteries...

    #machine learning #python #data science #randomness analysis #lottery data #probability

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