Mauricio Eberle Morales

AI Is Redefining Scientific Visualization For a long time, creating scientific figures has been an exhausting and time-consuming process. Many researchers have experienced the same workflow: repeatedly adjusting arrows in PowerPoint just to finish a flowchart, endlessly tweaking fonts and colors in Illustrator to maintain consistency, or reorganizing entire layouts simply to make a figure

Hallucination is not a defect. It is the predictable output of a training regime built to reward fluency over accuracy. The fix is not a better model. It is a different architecture. A researcher in Bamako, Niamey, or São Paulo opens Gemini and asks for a literature review on the Alliance of Sahel States —

AI Is Transforming Research Presentations In the past, creating a research presentation often meant spending a great deal of time manually organizing content, adjusting layouts, and repeatedly revising PowerPoint slides. With the rapid development of large language models and generative AI, research presentations are entering a new stage. Today, research notes, paper summaries, and experimental