Reading Research Papers in the Age of LLMs
How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers in the Age of LLMs appeared first on Towards Data Science.
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If We Want Mamdani To Beat The NYPD, We Must Build Power
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Thinking with Video: The Next Leap in Multimodal AI Reasoning
Author(s): Kaushik Rajan Originally published on Towards AI. How video generation models like Sora-2 are bridging the gap between static images and dynamic understanding I still remember the first time I saw a Vision Language Model (VLM) describe a complex image. It felt like magic. But then I asked it to predict what would happen next in a chaotic street scene, and the magic faded. It struggled. It could see the “now,” but it was blind to the […]
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I Built a Tool That Turns 1-Hour YouTube Tutorials into 2-Minute “Code-Only” Memos
Author(s): Manash Pratim Originally published on Towards AI. Stop watching 20 minutes of “Hey guys, welcome back!” just to find one function. I have a confession. Image generated using AIThe article discusses the author’s development of a tool that efficiently extracts code from YouTube coding tutorials by utilizing the hidden transcripts that accompany the videos. The author details the motivation behind creating this tool, the technical stack used, and provides an overview of its efficacy, demonstrating significant time […]
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Interest in Spoor’s bird monitoring AI software is soaring
Spoor’s computer vision software can help wind farms, and other industries, track bird populations and migration patterns.
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The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes many splits, it is normal. Using the tiny dataset 1, 2, 3, 9, we can see the logic clearly. We build several random trees, measure how many splits each point needs, average the depths, and convert them into anomaly scores. Short depths become scores close to 1, long depths close […]
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OpenAI co-founds Agentic AI Foundation, donates AGENTS.md
OpenAI co-founds the Agentic AI Foundation under the Linux Foundation and donates AGENTS.md to support open, interoperable standards for safe agentic AI.
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It’s the Humidity: How International Researchers in Poland, Deep Learning and NVIDIA GPUs Could Change the Forecast
For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor. Humidity is the invisible fuel for thunderstorms, flash floods, and hurricanes. It’s the difference between a passing sprinkle and a summer downpour that sends you sprinting for cover. And until now, satellites have struggled to capture it with the detail needed to warn us before skies crack open. […]
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Decentralized Computation: The Hidden Principle Behind Deep Learning
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally […] The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science.
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