Furthermore, doing a master's program in AI has been something that really appeals me; with research being the ones to develop cutting-edge models and industry implementing and optimizing them for scalability, to me, I tend to think that the former would be something that would be more interesting to me. Having worked in a lot of practical AI projects, anywhere from hackathon projects, such as Archiscape, which would build a 3d model of a house by simply taking pictures around it, to months-long side-projects, such as Azar, a time-estimation tool based on past data on how long your tasks took in reality compared to how long they actually took, as well as taking multiple internships where AI was applicable, such as at UnMesh, where we scraped recipe websites and used machine learning and regexes to convert the recipes into structured data, I feel like I've gotten a good glimpse of what practical AI looks like in industry. However, I have yet to get my hands on any AI research, so I believe ERSP will get me my first experiences of what it's like to work as an AI researcher, which will give me a good way to compare between research and industry and figure out which one would be right for me moving forward.