Experimental News Clipping Site

Tag: neural network

  • Hacker News: Differentiable Logic Cellular Automata

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    Kurt Seifried
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    Source URL: https://google-research.github.io/self-organising-systems/difflogic-ca/?hn Source: Hacker News Title: Differentiable Logic Cellular Automata Feedly Summary: Comments AI Summary and Description: Yes Summary: This text discusses a novel approach integrating Neural Cellular Automata (NCA) with Deep Differentiable Logic Networks (DLGNs) to create a hybrid model called DiffLogic CA. This model aims to learn local rules within cellular automata…

  • Hacker News: Get Started with Neural Rendering Using Nvidia RTX Kit (Vulkan)

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    Kurt Seifried
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    Source URL: https://developer.nvidia.com/blog/get-started-with-neural-rendering-using-nvidia-rtx-kit/ Source: Hacker News Title: Get Started with Neural Rendering Using Nvidia RTX Kit (Vulkan) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an overview of NVIDIA’s RTX Kit, a suite of neural rendering technologies aimed at enhancing computer graphics through artificial intelligence. It outlines new SDKs and their…

  • Hacker News: ARC-AGI without pretraining

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    Kurt Seifried
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    Source URL: https://iliao2345.github.io/blog_posts/arc_agi_without_pretraining/arc_agi_without_pretraining.html Source: Hacker News Title: ARC-AGI without pretraining Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents “CompressARC,” a novel method demonstrating that lossless information compression can generate intelligent behavior in artificial intelligence (AI) systems, notably in solving ARC-AGI puzzles without extensive pretraining or large datasets. This approach challenges conventional…

  • Hacker News: MIT 6.S184: Introduction to Flow Matching and Diffusion Models

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    Kurt Seifried
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    Source URL: https://diffusion.csail.mit.edu Source: Hacker News Title: MIT 6.S184: Introduction to Flow Matching and Diffusion Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text presents an educational overview of the MIT course “Generative AI with Stochastic Differential Equations,” focusing on diffusion and flow-based models used in generative AI. The course teaches…

  • Schneier on Security: Implementing Cryptography in AI Systems

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/implementing-cryptography-in-ai-systems.html Source: Schneier on Security Title: Implementing Cryptography in AI Systems Feedly Summary: Interesting research: “How to Securely Implement Cryptography in Deep Neural Networks.” Abstract: The wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input,…

  • Hacker News: Helix: A Vision-Language-Action Model for Generalist Humanoid Control

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    Kurt Seifried
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    Source URL: https://www.figure.ai/news/helix Source: Hacker News Title: Helix: A Vision-Language-Action Model for Generalist Humanoid Control Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Helix, a groundbreaking Vision-Language-Action (VLA) model that enhances humanoid robotics and allows for advanced manipulation tasks through natural language interaction. It is notable for its ability to operate…

  • The Register: The future of AI is … analog? Upstart bags $100M to push GPU-like brains on less juice

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/17/encharge_ai_compute/ Source: The Register Title: The future of AI is … analog? Upstart bags $100M to push GPU-like brains on less juice Feedly Summary: EnCharge claims 150 TOPS/watt, a 20x performance-per-watt edge Interview AI chip startup EnCharge claims its analog artificial intelligence accelerators could rival desktop GPUs while using just a fraction of…

  • Hacker News: Gary Marcus discusses AI’s technical problems

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    Kurt Seifried
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    Source URL: https://cacm.acm.org/opinion/not-on-the-best-path/ Source: Hacker News Title: Gary Marcus discusses AI’s technical problems Feedly Summary: Comments AI Summary and Description: Yes Summary: In this conversation featuring cognitive scientist Gary Marcus, key technical critiques of generative artificial intelligence and Large Language Models (LLMs) are discussed. Marcus argues that LLMs excel in interpolating data but struggle with…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • The Register: US senator wants to slap prison term, $1M fine on anyone aiding Chinese AI with … downloads?

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/03/us_senator_download_chinese_ai_model/ Source: The Register Title: US senator wants to slap prison term, $1M fine on anyone aiding Chinese AI with … downloads? Feedly Summary: As UK proposes laws against neural-nets-for-pedophiles Americans may have to think twice about downloading a Chinese AI model or investing in a company behind such a neural network in…