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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 month ago · ai

    [Paper] Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Roman Scripts in a Real World Setting

    Large Language Models (LLMs) are increasingly deployed in high-stakes clinical applications in India. In many such settings, speakers of Indian languages freque...

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

    [Paper] PACIFIC: a framework for generating benchmarks to check Precise Automatically Checked Instruction Following In Code

    Large Language Model (LLM)-based code assistants have emerged as a powerful application of generative AI, demonstrating impressive capabilities in code generati...

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

    Marble enters the race to bring AI to tax work, armed with $9 million and a free research tool

    Marble, a startup building artificial intelligence agents for tax professionals, has raised $9 million in seed funding as the accounting industry grapples with...

    #it #startups #ai
  • 1 month ago · ai

    [Paper] A Spiking Neural Network Implementation of Gaussian Belief Propagation

    Bayesian inference offers a principled account of information processing in natural agents. However, it remains an open question how neural mechanisms perform t...

    #research #paper #ai
  • 1 month ago · ai

    7 Pandas Performance Tricks Every Data Scientist Should Know

    What I've learned about making Pandas faster after too many slow notebooks and frozen sessions The post 7 Pandas Performance Tricks Every Data Scientist Should...

    #ai #data-science #tutorial
  • 1 month ago · ai

    [Paper] Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs

    Data center (DC) infrastructure serves as the backbone to support the escalating demand for computing capacity. Traditional design methodologies that blend huma...

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

    [Paper] Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs

    Data center (DC) infrastructure serves as the backbone to support the escalating demand for computing capacity. Traditional design methodologies that blend huma...

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

    Harness Raises $240M: AI for Everything After Code and a New Era for DevOps

    Alan breaks down Harness’s $240M raise, $5.5B valuation, and Jyoti Bansal’s AI-native platform reshaping the software delivery pipeline....

    #Harness #AI #DevOps #Funding #Software Delivery
  • 1 month ago · ai

    [Paper] From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection

    Vulnerability detection methods based on deep learning (DL) have shown strong performance on benchmark datasets, yet their real-world effectiveness remains unde...

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

    [Paper] Symphony: A Heuristic Normalized Calibrated Advantage Actor and Critic Algorithm in application for Humanoid Robots

    In our work we not explicitly hint that it is a misconception to think that humans learn fast. Learning process takes time. Babies start learning to move in the...

    #research #paper #ai
  • 1 month ago · it

    Nous Research just released Nomos 1, an open-source AI that ranks second on the notoriously brutal Putnam math exam

    Nous Research, the San Francisco-based artificial intelligence startup, released on Tuesday an open-source mathematical reasoning system called Nomos 1 that ach...

    #it #startups #ai
  • 1 month ago · ai

    [Paper] Clustered Federated Learning with Hierarchical Knowledge Distillation

    Clustered Federated Learning (CFL) has emerged as a powerful approach for addressing data heterogeneity and ensuring privacy in large distributed IoT environmen...

    #research #paper #ai #machine-learning

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