Tag: neural network

  • Hacker News: AlphaQubit: AI to identify errors in Quantum Computers

    Source URL: https://blog.google/technology/google-deepmind/alphaqubit-quantum-error-correction/ Source: Hacker News Title: AlphaQubit: AI to identify errors in Quantum Computers Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of AlphaQubit, an AI-based decoder developed by Google DeepMind and Google Quantum AI to improve the reliability of quantum computing by accurately identifying and correcting errors.…

  • Hacker News: Between the Booms: AI in Winter – Communications of the ACM

    Source URL: https://cacm.acm.org/opinion/between-the-booms-ai-in-winter/ Source: Hacker News Title: Between the Booms: AI in Winter – Communications of the ACM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the popular perception of artificial intelligence (AI) and traces its historical evolution, emphasizing the shift from symbolic AI to statistical methods and neural networks. It…

  • Hacker News: The Lost Reading Items of Ilya Sutskever’s AI Reading List

    Source URL: https://tensorlabbet.com/2024/11/11/lost-reading-items/ Source: Hacker News Title: The Lost Reading Items of Ilya Sutskever’s AI Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text analyzes the reconstruction of Ilya Sutskever’s 2020 AI reading list, revealing that several important items were lost due to OpenAI’s email deletion policy. The author aims to…

  • Hacker News: Iterative α-(de)blending and Stochastic Interpolants

    Source URL: http://www.nicktasios.nl/posts/iterative-alpha-deblending/ Source: Hacker News Title: Iterative α-(de)blending and Stochastic Interpolants Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reviews a paper proposing a method called Iterative α-(de)blending for simplifying the understanding and implementation of diffusion models in generative AI. The author critiques the paper for its partial clarity, discusses the…

  • Schneier on Security: AI Industry is Trying to Subvert the Definition of “Open Source AI”

    Source URL: https://www.schneier.com/blog/archives/2024/11/ai-industry-is-trying-to-subvert-the-definition-of-open-source-ai.html Source: Schneier on Security Title: AI Industry is Trying to Subvert the Definition of “Open Source AI” Feedly Summary: The Open Source Initiative has published (news article here) its definition of “open source AI,” and it’s terrible. It allows for secret training data and mechanisms. It allows for development to be done…

  • Hacker News: Why the deep learning boom caught almost everyone by surprise

    Source URL: https://www.understandingai.org/p/why-the-deep-learning-boom-caught Source: Hacker News Title: Why the deep learning boom caught almost everyone by surprise Feedly Summary: Comments AI Summary and Description: Yes Summary: The text chronicles the pivotal moments and contributions surrounding the development of neural networks, specifically highlighting the significance of the ImageNet dataset, created by Fei-Fei Li. It outlines how…

  • Hacker News: PiML: Python Interpretable Machine Learning Toolbox

    Source URL: https://github.com/SelfExplainML/PiML-Toolbox Source: Hacker News Title: PiML: Python Interpretable Machine Learning Toolbox Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces PiML, a new Python toolbox designed for interpretable machine learning, offering a mix of low-code and high-code APIs. It focuses on model transparency, diagnostics, and various metrics for model evaluation,…

  • Hacker News: Low-poly image generation using evolutionary algorithms in Ruby

    Source URL: https://thomascountz.com/2023/07/30/low-poly-image-generation Source: Hacker News Title: Low-poly image generation using evolutionary algorithms in Ruby Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves into the application of evolutionary algorithms inspired by biological systems for tasks like image reconstruction, particularly creating low-poly representations. It explores the structure of genetic algorithms, the configuration…

  • Hacker News: The performance of hashing for similar function detection

    Source URL: https://edmcman.github.io/blog/2024-01-11–fuzzy-hashing-for-code-comparisons/ Source: Hacker News Title: The performance of hashing for similar function detection Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves deeply into malware reverse engineering and explores advanced hashing techniques like PIC hashing and fuzzy hashing. It highlights the significant challenges faced in identifying equivalent functions across different…