Tag: neural network

  • 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…

  • Hacker News: GDDR7 Memory Supercharges AI Inference

    Source URL: https://semiengineering.com/gddr7-memory-supercharges-ai-inference/ Source: Hacker News Title: GDDR7 Memory Supercharges AI Inference Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses GDDR7 memory, a cutting-edge graphics memory solution designed to enhance AI inference capabilities. With its impressive bandwidth and low latency, GDDR7 is essential for managing the escalating data demands associated with…

  • Wired: Liquid AI Is Redesigning the Neural Network

    Source URL: https://www.wired.com/story/liquid-ai-redesigning-neural-network/ Source: Wired Title: Liquid AI Is Redesigning the Neural Network Feedly Summary: Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models. AI Summary and Description: Yes Summary: Liquid AI, a startup emerging from MIT,…

  • Hacker News: Paper finds provably minimal counterfactual explanations

    Source URL: https://ojs.aaai.org/index.php/AIES/article/view/31742 Source: Hacker News Title: Paper finds provably minimal counterfactual explanations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development and implementation of a new algorithm known as Polyhedral-complex Informed Counterfactual Explanations (PICE). This algorithm is significant for AI professionals, as it enhances the interpretability and robustness of…

  • Hacker News: When machines could see you

    Source URL: https://dnlserrano.github.io//2024/10/20/when-machines-could-see-you.html Source: Hacker News Title: When machines could see you Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details the historical development of facial recognition technologies, particularly highlighting the contributions of Geoffrey Hinton and the Viola-Jones algorithm. It emphasizes the transition from earlier methods used for face detection to modern…

  • Hacker News: Implementing neural networks on the "3 cent" 8-bit microcontroller

    Source URL: https://cpldcpu.wordpress.com/2024/05/02/machine-learning-mnist-inference-on-the-3-cent-microcontroller/ Source: Hacker News Title: Implementing neural networks on the "3 cent" 8-bit microcontroller Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation of a neural network-based inference engine for recognizing handwritten digits (from the MNIST dataset) on extremely low-end microcontrollers, specifically the Padauk 8-bit microcontroller series. It…

  • Simon Willison’s Weblog: Quoting François Chollet

    Source URL: https://simonwillison.net/2024/Oct/16/francois-chollet/ Source: Simon Willison’s Weblog Title: Quoting François Chollet Feedly Summary: A common misconception about Transformers is to believe that they’re a sequence-processing architecture. They’re not. They’re a set-processing architecture. Transformers are 100% order-agnostic (which was the big innovation compared to RNNs, back in late 2016 — you compute the full matrix of…

  • Hacker News: LLMs don’t do formal reasoning – and that is a HUGE problem

    Source URL: https://garymarcus.substack.com/p/llms-dont-do-formal-reasoning-and Source: Hacker News Title: LLMs don’t do formal reasoning – and that is a HUGE problem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses insights from a new article on large language models (LLMs) authored by researchers at Apple, which critically examines the limitations in reasoning capabilities of…

  • Slashdot: After Winning Nobel Prize, Geoffrey Hinton Said He Was Proud Ilya Sutskever ‘Fired Sam Altman’

    Source URL: https://slashdot.org/story/24/10/09/1949256/after-winning-nobel-prize-geoffrey-hinton-said-he-was-proud-ilya-sutskever-fired-sam-altman?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: After Winning Nobel Prize, Geoffrey Hinton Said He Was Proud Ilya Sutskever ‘Fired Sam Altman’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Geoffrey Hinton’s recent Nobel Prize award, highlighting his contributions to artificial neural networks and AI. It mentions a notable reference to Ilya Sutskever,…