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Introducing the Gemini 2.5 Computer Use model

Earlier this year, we mentioned that we’re bringing computer use capabilities to developers via the Gemini API. Today, we are releasing the Gemini 2.5 Computer Use model, our new specialized model built on Gemini 2.5 Pro’s visual understanding and reasoning capabilities that powers agents capable of interacting with user interfaces (UIs). It outperforms leading alternatives …

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Know Your Real Birthday: Astronomical Computation and Geospatial-Temporal Analytics in Python

are planning next year’s birthday celebrations for three friends: Gabriel, Jacques, and Camille. All three of them were born in 1996, in Paris, France, so they will be 30 years old next year in 2026. Gabriel and Jacques will happen to be in Paris on their respective birthdays, while Camille will be in Tokyo, Japan, …

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How to Learn Statistics for Data Science

How I Actually Use Statistics as a Data Scientist

Image by Ideogram   Contents# Introduction# How I Use Statistics in My Data Science Job# Three Resources to Learn Statistics for Data Science# Takeaways # Introduction  When you hear the word data science, you probably think of two words: programming and statistics. In fact, the prerequisite of learning statistics often discourages people from pursuing a career in data. It doesn’t …

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Introducing CodeMender: an AI agent for code security

Responsibility & Safety Published 6 October 2025 Authors Raluca Ada Popa and Four Flynn Using advanced AI to fix critical software vulnerabilities Today, we’re sharing early results from our research on CodeMender, a new AI-powered agent that improves code security automatically. Software vulnerabilities are notoriously difficult and time-consuming for developers to find and fix, even …

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Classical Computer Vision and Perspective Transformation for Sudoku Extraction

of AI hype, it feels like everyone is using Vision-Language Models and large Vision Transformers for every problem in Computer Vision. Many people see these tools as one-size-fits-all solutions and immediately use the latest, shiniest model instead of understanding the underlying signal they want to extract. But oftentimes there’s beauty to simplicity. It’s one of …

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Is ChatGPT Study Mode a Hidden Gem or a Gimmick?

Image by Editor   Contents# Introducing ChatGPT Study Mode# Study Mode Key Features# How to Use Study Mode# Benefits & Drawbacks of ChatGPT Study Mode# Conclusion # Introducing ChatGPT Study Mode  Among the unending supply of AI-powered tools and features of late, ChatGPT Study Mode has captured the attention of students, educators, and lifelong learners. It promises to revolutionize study habits …

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Build a Data Dashboard Using HTML, CSS, and JavaScript

dashboard for your customers, clients, or fellow workers is becoming an essential part of the skill set required by software developers, data scientists, ML practitioners, and data engineers. Even if you work primarily on back-end processing, the data you’re processing usually needs to be “surfaced” to users at some point. If you’re lucky, your organisation …

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We Used 3 Feature Selection Techniques: This One Worked Best

Image by Editor   Contents# Introduction# Why Feature Selection Matters# The Dataset# Filter Method# Wrapper Method# Embedded Method# Results Comparison# Conclusion # Introduction  In any machine learning project, feature selection can make or break your model. Selecting the optimal subset of features reduces noise, prevents overfitting, enhances interpretability, and often improves accuracy. With too many irrelevant or redundant variables, models become bloated and harder …

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Are Foundation Models Ready for Your Production Tabular Data?

are large-scale AI models trained on a vast and diverse range of data, such as audio, text, images, or a combination of them. Because of this versatility, foundation models are revolutionizing Natural Language Processing, Computer Vision, and even Time Series. Unlike traditional AI algorithms, foundation models offer out-of-the-box predictions without the need for training from …

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Why I Quit My Side Hustle for Data Science

Why I Quit My 6 Figure Side Hustle for a Full-Time Data Science Job

Image by Author | Ideogram   Contents# Introduction# 1. Building Technical Skills# 2. Being Paid to Learn3. AI-Proofing My CareerSummary # Introduction  When I first started my data science career in 2020, the field was booming. Everywhere you looked, companies were hiring data professionals. At that time, I built a data science portfolio and managed to land several high-paying …

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