Gemini 2.5 Pro

Enhancing Research Productivity: A Comprehensive Guide to Canvas and Artifacts in GenAI Interfaces

These tools provide dedicated spaces for creating, refining, and managing content alongside artificial intelligence interactions, facilitating tasks from data visualisation to manuscript drafting. This guide, tailored for researchers, examines their practical applications, operational mechanisms, distinctions, version control capabilities, memory management, and availability in other models. By leveraging these interfaces, researchers

Leveraging Generative AI to Verify Journal Guideline Compliance: A Practical Guide for Researchers

Ensuring a manuscript perfectly adheres to a journal's unique and often complex formatting guidelines is a familiar, laborious task for every researcher. It represents a final, time-consuming hurdle before submission, where minor errors can lead to delays or even desk rejection. But what if this critical checking process

Structured Legal Summarisation of Constitutional Court Decisions from PDF Using Gemini 2.5 Pro

This post presents a structured application of the Gemini 2.5 Pro language model for the bilingual summarisation of selected Hungarian Constitutional Court decisions. Working exclusively from an official PDF file containing full-text rulings, the model was prompted to generate parallel summaries in Hungarian and UK English, along with a

Using Gemini for Grammar and Style Correction in Google Docs

Integrating Google’s Gemini assistant into Google Docs offers a lightweight yet effective solution for academic and professional editing tasks. Rather than relying on traditional spelling and grammar checkers, users can now issue custom prompts to Gemini—transforming the assistant into a real-time editorial aid capable of producing high-quality revisions

Prompt-Driven Video Analysis of Animal Behaviour Using Gemini 2.5 Pro in Google AI Studio and via API

Can state-of-the-art multimodal models analyse animal behaviour directly from video footage? In this study, we tested Google’s Gemini 2.5 Pro — both in AI Studio and via its API — to assess whether it can produce structured ethological descriptions based purely on short animal-related videos. By applying a consistent prompt