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Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, object detection and Go), deep learning has become extremely popular. This post aims to be a starting point for those interested in learning more about it. Read more ›
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Practically every school and university in America claims to teach “critical thinking.” It appears in mission statements, accreditation documents, course catalogs, and commencement addresses with the regularity of a loyalty oath. Ask any dean what distinguishes a college education from a YouTube tutorial, and “critical thinking” will come up within the first sentence. It has... Read more about: “Critical Thinking” Is Not Enough The post appeared first on . Read more ›
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In this paper, we propose a discrete roto-reflection group equivariant vision transformer with convolutional attention. Roto-reflection equivariant networks preserve the rotational, flip and positional symmetry in feature maps, making them useful for tasks where orientation of the inputs is relevant to the model outputs. In image classification and object detection, most of the studies on roto-reflection equivariant models have focused on using ... Read more ›
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🤖人工智能GitHub·
A group of notebooks and other files which can help you learn AI from scratch. - Ramakm/ai-hands-on Read more ›
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💬NLPAdExchanger·
You know what’s cheaper than large language models? Small language models, which are designed for specialized tasks and can reduce latency. Read more ›
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...near-perfect accuracy.Customer Support: AI-powered chatbots and voice agents handle tier-1 customer inquiries, escalating... In 2026:Financial Analysis: Agents analyze market trends, risk factors, and investment opportunities in real time. Hedge... Read more ›
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My second brain on Android Read more ›
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Imagine the “bottleneck” really was engineering or coding. What does that imply about the competitive game you were playing? Are you saying the only thing holding you back was something relatively commoditized—something you could just hire more people to do? What does that say? It suggests you were competing in a world where speed of execution mattered more than insight, where everyone was building roughly the same thing, and whoever shipped faster won. But if that’s true, you better hope eng... Read more ›
Covered by Roger Swannell |
Discussed on Substack
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PAC learning, Occam’s Razor and AI Agents: Why Intelligence Is a Data Science Problem Read more ›
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Josef Albers, Paul Cézanne and memories of home Read more ›
Discussed on Substack
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A few weeks ago, I was building a chatbot using Ollama and LangChain. Read more ›
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The founding director of the University of Maryland’s Neuroscience and Cognitive Science program brought neuroscience, math and engineering together. Read more ›
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Neural Networks, also known as Artificial Neural Networks (ANNs), are Machine Learning models inspired by the structure and functioning of… Read more ›
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Open-source bullet-point outliner. Plain markdown on disk (no UUIDs), tree-CRDT sync that doesn't lose data when devices edit offline, and an MCP server so Claude, Cursor and ChatGPT use your notes as a second brain. A modern Roam, Logseq and Obsidian alternative built in Rust. Read more ›
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A pro-situ group's exploration of systems theory and dialectical mathematics. Author For Ourselves Submitted by Fozzie on June 26, 2026 Attachments State-Space-1973-For-Ourselves.pdf (2.41 MB) state post-situationist Comments Read more ›
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💬NLPmedium.com
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This is Day 12 of building a neural network from scratch. Click this link to view past articles. Read more ›
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Reinforcement Learning (RL) is a machine learning approach where an agent learns through trial and error by interacting with an… Read more ›
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This post will be the final chapter of my series on object detection since we have explored the possibility of detecting various objects within camera frames, tracing the journey from Java-based applications to our ultimate goal that implements a mobile app on android devices. Table Of Contents 1. Introduction 2. Objectives 3. Android Development Setup … Read more ›
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Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the challenge is scaling across multiple… Read more ›
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