A Google engineer's testimony shows how page quality is scored and confirms the existence of a popularity signal that uses Chrome data.
Google's AI function brings Gemini-powered language models right into your spreadsheet cells without any add-ons. With it, you can generate fresh text, summarize blocks of data, categorize entries, or even guess sentiments—all by typing a simple formula.
The article provides examples such as:
- *sentiment analysis* ```=AI("Is this customer feedback positive, negative, or neutral?", A2)```
- *data categorization* `=AI("Classify this expense as Travel, Office, or Other", D3)`
- *simple calculations* `=AI("Add the numbers in these cells", A1:A5)`
The article provides examples such as:
- *sentiment analysis* ```=AI("Is this customer feedback positive, negative, or neutral?", A2)```
- *data categorization* `=AI("Classify this expense as Travel, Office, or Other", D3)`
- *simple calculations* `=AI("Add the numbers in these cells", A1:A5)`
From the former news policy lead at Google, an 'informative and often harrowing wake-up call' that explains the high-stakes global cyberwar brewing between Western democracies and the authoritarian regimes of China and Russia. Jacob Helberg, who led Google’s efforts to combat disinformation and foreign interference, discusses the escalating technology cold war between democracy and autocracy, focusing on the control of software and hardware that shapes the world’s balance of power.
This article details the release of Gemma 3, the latest iteration of Google’s open-weights language model. Key improvements include **vision-language capabilities** (using a tailored SigLIP encoder), **increased context length** (up to 128k tokens for larger models), and **architectural changes for improved memory efficiency** (5-to-1 interleaved attention and removal of softcapping). Gemma 3 demonstrates superior performance compared to Gemma 2 across benchmarks and offers models optimized for various use cases, including on-device applications with the 1B model.
Google will host a separate event, 'The Android Show: I/O Edition,' on May 13th to discuss Android updates, a week before Google I/O. This suggests Google I/O will focus more on Gemini and other AI efforts. Android will still be present at I/O, but it's no longer the primary focus.
Optuna is an open-source hyperparameter optimization framework designed to automate the hyperparameter search process for machine learning models. It supports various frameworks like TensorFlow, Keras, Scikit-Learn, XGBoost, and LightGBM, offering features like eager search spaces, state-of-the-art algorithms, and easy parallelization.
This document details how to run Gemma models, covering framework selection, variant choice, and running generation/inference requests. It emphasizes considering available hardware resources and provides recommendations for beginners.
Google's Gemini 2.5 Flash model is a new, faster, and more cost-effective model with adjustable 'thinking' capabilities. The article details how to use it with llm-gemini, explores pricing differences compared to Gemini 2.0 Flash, and shares example SVG outputs.
Google’s John Mueller downplayed the usefulness of LLMs.txt, comparing it to the keywords meta tag, as AI bots aren’t currently checking for the file and it opens potential for cloaking.
A detailed exploration of the history of Product Management, from its pre-role origins to the present day, challenging conventional narratives and outlining key phases of its development.
