Civil Disobedience of Copyright Keeps Science Going

Civil Disobedience of Copyright Keeps Science Going

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Creating and sharing knowledge are defining traits of humankind, yet copyright law has grown so restrictive that it can require acts of civil disobedience to ensure that students and scholars have the books they need and to preserve swaths of culture from being lost forever. Reputable research generally follows a familiar pattern: Scientific articles are written by scholars based on their research—often with public funding. Those articles are then peer-reviewed by other scholars in their fields and revisions […]

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Under the Hood: Understanding tools like n8n and building Custom Nodes for Enterprise AI Workflows

Under the Hood: Understanding tools like n8n and building Custom Nodes for Enterprise AI Workflows

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Author(s): Samvardhan Singh Originally published on Towards AI. Learn how to build a Custom Node for Automated AI Infrastructure Monitoring and Neural Network Training Pipeline Diagnostics If you’re not a medium member, access this article for free here. image by authorThis article explores n8n, a powerful open-source workflow automation platform, detailing its architecture and capabilities for building custom nodes to enhance automated AI infrastructure monitoring and neural network training diagnostics. The article emphasizes n8n’s extensibility and modular development […]

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Simpler models can outperform deep learning at climate prediction

Simpler models can outperform deep learning at climate prediction

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Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their analysis also reveals that a benchmarking technique commonly used to evaluate machine-learning techniques for climate predictions can be distorted by natural variations in […]

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New tool makes generative AI models more likely to create breakthrough materials

New tool makes generative AI models more likely to create breakthrough materials

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The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials. But when it comes to designing materials with exotic quantum properties like superconductivity or unique magnetic states, those models struggle. That’s too bad, because humans could use the help. For example, […]

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Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression

Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression

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How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the context window and the retriever and generator are still optimized as 2 separate, disconnected systems? A team of researchers from Apple and University of Edinburgh released CLaRa, Continuous Latent Reasoning, (CLaRa-7B-Base, CLaRa-7B-Instruct and CLaRa-7B-E2E) a retrieval augmented generation framework that compresses documents into continuous memory tokens and then performs both retrieval and generation in that shared latent space. […]

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