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From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

AIHub

You were awarded an Honourable Mention for the 2019 AAAI / ACM SIGAI Doctoral Dissertation Award. What was the topic of your dissertation research, and what were the main contributions or findings? My PhD dissertation was on the topic of Visual Question Answering, called VQA. We proposed the task of open-ended and free-form VQA - a new way to benchmark computer vision models by asking them questions about images. We curated a large-scale dataset for researchers to train and test their models on this task.


Journalism Careers: You Can Be A TV Talking Head/Pundit

#artificialintelligence

Imagine yourself being interviewed on a major TV news network and you are coming across as strong, confident and full of fascinating insights. Wouldn't you love to be a regular pundit on major news programs offering your analysis on top news stories of the day? This journalism course is delivered primarily through spoken lecture. Because the skill you are learning is speaking related, it only makes sense that you learn through speaking. The skill you will learn in this class is not primarily theoretical or academic.