Aaron Birnbaum and Matthew Makansi

In December we first introduced native image output in Gemini 2.0 Flash to trusted testers. Today, we’re making it available for developer experimentation across all regions currently supported by Google AI Studio. You can test this new capability using an experimental version of Gemini 2.0 Flash (gemini-2.0-flash-exp) in Google AI Studio and via the Gemini API. Gemini 2.0 Flash combines multimodal input, enhanced reasoning, and natural language understanding to create images. Here are some examples

For a deeper dive into the technical details behind these capabilities, as well as a comprehensive overview of our approach to responsible development, refer to the Gemma 3 technical report. Rigorous safety protocols to build Gemma 3 responsibly We believe open models require careful risk assessment, and our approach balances innovation with safety – tailoring testing intensity to model capabilities. Gemma 3’s development included extensive data governance, alignment with our safety policies via fine-tuning and

DBeaver is the most powerful open-source SQL IDE, but there are several features people don’t know about. In this post, I will share with you several features to speed up your workflow, with zero fluff. I’ve learned these as I’m currently digging deeper into the tools I use daily, starting with Dbeaver. In a future post, I’ll compare the workflow between DBeaver versus building your SQL development environment on VSCode (or Cursor). If you’re interested

Are you a Data Analyst looking to break into data science? If so, this post is for you. Many people start in analytics because it generally has a lower barrier to entry, but as they gain experience, they realize they want to take on more technical challenges, dive deeper into machine learning, or even just increase their earning potential. Moving from Data analyst to Data Scientist can be a smart career move — but it requires the

Nowadays, a large amount of data is collected on the internet, which is why companies are faced with the challenge of being able to store, process, and analyze these volumes efficiently. Hadoop is an open-source framework from the Apache Software Foundation and has become one of the leading Big Data management technologies in recent years. The system enables the distributed storage and processing of data across multiple servers. As a result, it offers a scalable

I currently lead a small data team at a small tech company. With everything small, we have a lot of autonomy over what, when, and how we run experiments. In this series, I’m opening the vault from our years of experimenting, each story highlighting a key concept related to experimentation. And here we’ll share a surprising result from an early test on our referral-bonus program and use it to discuss how you might narrow your

At some point or another, any Power BI developer must write complex Dax expressions to analyze data. But nobody tells you how to do it. What’s the process for doing it? What is the best way to do it, and how supportive can a development process be? These are the questions I will answer here. Introduction  Sometimes my clients ask me how I came up with the solution for a specific measure in DAX. My answer

In 2015, the Wall Street Journal (WSJ) published a highly effective series of heatmaps illustrating the impact of vaccines on infectious diseases in the United States. These visualizations showcased the power of blanket policies to drive widespread change. You can view the heatmaps here. Heatmaps are a versatile tool for data analysis. Their ability to facilitate comparative analysis, highlight temporal trends, and enable pattern recognition makes them invaluable for communicating complex information.  In this Quick

Imagine studying a module at university for a semester. At the end, after an intensive learning phase, you take an exam – and you can recall the most important concepts without looking them up. Now imagine the second situation: You are asked a question about a new topic. You don’t know the answer straight away, so you pick up a book or browse a wiki to find the right information for the answer. These two

1. Introduction It’s pretty clear that most of our work will be automated by AI in the future. This will be possible because many researchers and professionals are working hard to make their work available online. These contributions not only help us understand fundamental concepts but also refine AI models, ultimately freeing up time to focus on other activities. However, there is one concept that remains misunderstood, even among experts. It is spurious regression in time series