Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...
The following information is intended to help people considering installing or planning an installation to store flammable or combustible liquids in aboveground storage tanks. This is not to be used ...
A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...
Google is planning to ship two new models. One is Gemini 3, which is optimised for coding and regular use, and the second is Nano Banano 2 for generating realistic images. As spotted on X, ...
1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
Google is testing an image generation feature in Search’s AI Mode. Powered by Nano Banana, the image generator could help search for topics more effectively. It is also testing Search Live, which ...
Imagine a tool that not only processes your data but also crafts polished presentations, generates detailed reports, and visualizes trends, all without switching between multiple apps. Sounds like a ...
Paul and David Bradt’s Ardiono Projects offers multiple ways to use Arduino and Raspberry Pi microcontrollers for your model railroading projects. Buy the book here. Code for Button/Blink Test (SN095) ...
Several notable AI models were released or updated during this week. Google’s Gemini 2.5 Flash Image (codename: Nano Banana): This is a state-of-the-art image generation and editing model from Google ...
One of the main reasons Nano Banana has become so popular is its ability to generate image variations while maintaining consistency in elements that you wish to keep unchanged. For example, I asked it ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...