As AI image generation tools become increasingly sophisticated, the ability to distinguish between AI-generated and authentic photographs has emerged as a critical challenge. Platforms like Winston.AI and AI or Not claim to address this need by detecting synthetic imagery with high accuracy. But how well do these detection systems
Recent advancements in multimodal language models have opened new avenues for analysing scientific image data using natural language instructions. In this post, we explore the capabilities of OpenAI’s o4-mini-high model for performing cell segmentation tasks on microscopy images through prompt-based interaction. Rather than relying on traditional computer vision techniques
This post presents a practical solution for integrating OpenAI’s GPT API into RStudio using a custom Shiny interface. The tool enables real-time code generation from natural language instructions, allowing users to interact with GPT-4 directly within their R workflow—without leaving the environment or blocking the console. We demonstrate
