February 2026

Essential Python Libraries for Data Science

Essential Python Libraries for Data Science

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Part 1: Core Data Foundations with NumPy and Pandas Introduction Modern data science discussions often start with models. That is usually where things go wrong. In real production data science workflows, models are rarely the first point of failure. When data pipelines break, predictions drift, or results become impossible to reproduce, the root cause almost always sits much lower in the stack. It lives in how data is represented, how numerical computations are performed, and how transformations and feature engineering […]

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From Embeddings to Intelligence: Vector Aggregate Functions in Snowflake

From Embeddings to Intelligence: Vector Aggregate Functions in Snowflake

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Embeddings are frequently described as the foundation of modern AI systems, yet they are often treated as a black box. They capture meaning, enable semantic search, and power intelligent applications, but we rarely see how they behave as data or how they can be used analytically in a governed, scalable way. With the recent introduction of vector aggregate functions in Snowflake, embeddings are no longer just intermediate artifacts but become truly composable building blocks for analytics and AI. By […]

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Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans

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This paper presents a novel autonomous robotic assembly framework for constructing stable structures without relying on predefined architectural blueprints. Instead of following fixed plans, construction tasks are defined through targets and obstacles, allowing the system to adapt more flexibly to environmental uncertainty and variations during the building process. A reinforcement learning (RL) policy, trained using deep Q-learning with successor features, serves as the decision-making component. As a proof of concept, we evaluate the approach on a benchmark of […]

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The new top banana in AI image generation

The new top banana in AI image generation

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Read Online | Sign Up | Advertise Good morning, {{ first_name | AI enthusiasts }}. When Google launched the original Nano Banana last August, it set the bar for AI image generation — now, the sequel is raising it. The new Nano Banana 2 just reclaimed the text-to-image crown across leaderboards, while also effectively ending the tradeoff between top-tier quality and affordability in the process. In today’s AI rundown: Google’s Nano Banana 2 claims No. 1 at half […]

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MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks

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The rapid expansion of Industrial IoT (IIoT) systems has amplified security challenges, as heterogeneous devices and dynamic traffic patterns increase exposure to sophisticated and previously unseen cyberattacks. Traditional intrusion detection systems often struggle in such environments due to their reliance on extensive labeled data and limited ability to detect new threats. To address these challenges, we propose MI$^2$DAS, a multi-layer intrusion detection framework that integrates anomaly-based hierarchical traffic pooling, open-set recognition to distinguish between known and unknown attacks […]

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Prince of Persia (1989) using PPO

Prince of Persia (1989) using PPO

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It’s finally able to get the damn sword, me and my friend put a month in this lmao github: https://github.com/oceanthunder/Principia [still a long way to go] submitted by /u/snailinyourmailpart2 [link] [comments]

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Cuando la inteligencia artificial deja de ser «una opción»: el nuevo contrato laboral (y académico) ya está aquí

Cuando la inteligencia artificial deja de ser «una opción»: el nuevo contrato laboral (y académico) ya está aquí

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Durante un tiempo, la conversación sobre inteligencia artificial en las organizaciones se mantuvo en esa zona cómoda de los verbos aspiracionales: «animar», «explorar», «experimentar», «probar». Pero esa fase se está agotando. Un artículo en el Wall Street Journal, «Tech firms aren’t just encouraging their workers to use AI. They’re enforcing it«, lo describe claramente y sin eufemismos: en muchas tecnológicas, usar inteligencia artificial ya no es un extra simpático ni una habilidad diferencial, sino un requisito monitorizable, evaluable […]

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