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A Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality control, filtering, and normalization to prepare the data for downstream analysis. We then identify highly variable genes, perform PCA for dimensionality reduction, and construct […]

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Andrej Karpathy Open-Sources ‘Autoresearch’: A 630-Line Python Tool Letting AI Agents Run Autonomous ML Experiments on Single GPUs

Andrej Karpathy released autoresearch, a minimalist Python tool designed to enable AI agents to autonomously conduct machine learning experiments. The project is a stripped-down version of the nanochat LLM training core, condensed into a single-file repository of approximately ~630 lines of code. It is optimized for execution on a single NVIDIA GPU. The Autonomous Iteration

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Beyond Accuracy: Quantifying the Production Fragility Caused by Excessive, Redundant, and Low-Signal Features in Regression

At first glance, adding more features to a model seems like an obvious way to improve performance. If a model can learn from more information, it should be able to make better predictions. In practice, however, this instinct often introduces hidden structural risks. Every additional feature creates another dependency on upstream data pipelines, external systems,

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AI allows hackers to identify anonymous social media accounts, study finds

New research suggests tech behind AI platforms such as ChatGPT makes it easier to perform sophisticated privacy attacksAI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned.In most test scenarios, large language models (LLMs) – the technology behind platforms such as ChatGPT – successfully matched

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Readers reply: What if Shakespeare was dropped in modern-day London?

The long-running series in which readers answer other readers’ questions ponders the hypothetical reactions of eminent historical personages to today’s Trafalgar SquareThis week’s question: which are more like life, novels or films? If William Shakespeare – or Florence Nightingale, or Attila the Hun, or Julius Caesar, or Jane Austen, or Pocahontas – was dropped in

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ChatGPT driving rise in reports of ‘satanic’ organised ritual abuse, UK experts say

Exclusive: ‘Witchcraft, spirit possession and spiritual abuse’ offending typified by sexual abuse, violence and neglectChatGPT is driving a rise in reports of organised ritual abuse, UK experts have said, as survivors of “satanic” sexual violence use the AI tool for therapy.Police say organised ritual abuse and “witchcraft, spirit possession and spiritual abuse” (WSPRA) against children

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Current and former Block workers say AI can’t do their jobs after Jack Dorsey’s mass layoffs: ‘You can’t really AI that’

The CEO said he cut the company’s workforce by 4,000 people – almost in half – because of gains in AI productivityMark remembers the first time he wondered whether he was teaching Block’s AI tools how to do his job – and maybe even replace him. He was at his fintech company’s extravagant anniversary party

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Tech oligarchs reshape humanity while billionaires of old seem quaint

From Gates to Musk and Altman, today’s ultra-rich steer AI and tech, raising questions about who decides the futureWhen Bill Gates became the first modern IT mogul to reach the apex of wealth and power in 1992, the world was a very different place. Gates joined the top 10 on Forbes magazine’s billionaires list alongside

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How to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows

In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress control, then move into practical scenarios such as streaming downloads, pandas data processing, parallel execution, structured logging, and asynchronous tasks. Throughout this tutorial, we focus

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Yann LeCun’s New AI Paper Argues AGI Is Misdefined and Introduces Superhuman Adaptable Intelligence (SAI) Instead

What if the AI industry is optimizing for a goal that cannot be clearly defined or reliably measured? That is the central argument of a new paper by Yann LeCun, and his team, which claims that Artificial General Intelligence has become an overloaded term used in inconsistent ways across academia and industry. The research team

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