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We Benchmarked DuckDB, SQLite, and Pandas on 1M Rows: Here’s What Happened

Data Analytics4 days ago7Views 0Likes 0Comments

Image by Author # Introduction There are numerous tools for processing datasets today. They all claim — of course they do — that they’re the best and the right choice for you. But are they? There are two main requirements these tools should satisfy: they should easily perform everyday data analysis operations and…

Introducing the Gemini 2.5 Computer Use model

OpenAI4 days ago7Views 0Likes 0Comments

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…

5 Signs Your Business Is a Prime Target for Cyberattacks

Data AnalyticsOctober 7, 20259Views 0Likes 0Comments

Image by Editor # Introduction Running a business is tough enough without worrying about cybercriminals hunting your data. But here's the deal: cybercrime will cost businesses over $10 trillion globally in 2025. Small and medium businesses are taking the biggest hit, with nearly half of all breaches targeting companies under 1,000 employees. Cybercriminals…

Introducing CodeMender: an AI agent for code security

OpenAIOctober 7, 202511Views 0Likes 0Comments

Responsibility & Safety Published 6 October 2025 …

We Used 3 Feature Selection Techniques: This One Worked Best

Data AnalyticsOctober 2, 202511Views 0Likes 0Comments

Image by Editor # 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 to train. With too few, they risk…

How to Master Advanced TorchVision v2 Transforms, MixUp, CutMix, and Modern CNN Training for State-of-the-Art Computer Vision?

AI NewsOctober 2, 202511Views 0Likes 0Comments

In this tutorial, we explore advanced computer vision techniques using TorchVision’s v2 transforms, modern augmentation strategies, and powerful training enhancements. We walk through the process of building an augmentation pipeline, applying MixUp and CutMix, designing a modern CNN with attention, and implementing a robust training loop. By running everything seamlessly in Google Colab, we position…

Strengthening our Frontier Safety Framework

OpenAIOctober 2, 202513Views 0Likes 0Comments

We’re expanding our risk domains and refining our risk assessment process. AI breakthroughs are transforming our everyday lives, from advancing mathematics, biology and astronomy to realizing the potential of personalized education. As we build increasingly powerful AI models, we’re committed to responsibly developing our technologies and taking an evidence-based approach to staying ahead of emerging…

Gemini Robotics 1.5: DeepMind’s ER↔VLA Stack Brings Agentic Robots to the Real World

RoboticsOctober 2, 202516Views 0Likes 0Comments

Can a single AI stack plan like a researcher, reason over scenes, and transfer motions across different robots—without retraining from scratch? Google DeepMind’s Gemini Robotics 1.5 says yes, by splitting embodied intelligence into two models: Gemini Robotics-ER 1.5 for high-level embodied reasoning (spatial understanding, planning, progress/success estimation, tool-use) and Gemini Robotics 1.5 for low-level visuomotor…

Building Machine Learning Application with Django

Data AnalyticsSeptember 27, 202516Views 0Likes 0Comments

Image by Author | ChatGPT Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web framework. Django, a high-level web framework for Python, is particularly popular for creating scalable and secure web applications. When paired with libraries like scikit-learn,…

Gemini Robotics 1.5 brings AI agents into the physical world

OpenAISeptember 27, 202513Views 0Likes 0Comments

Acknowledgements This work was developed by the Gemini Robotics team: Abbas Abdolmaleki, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Ashwin Balakrishna, Nathan Batchelor, Alex Bewley, Jeff Bingham, Michael Bloesch, Konstantinos Bousmalis, Philemon Brakel, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Christine Chan, Oscar Chang, London Chappellet-Volpini, Jose Enrique…