Olga Russakovsky explains AI data's diversity problem
This week's guest is Princeton professor and co-founder of AI4All, Olga Russakovsky. Olga's research has focused on the societal biases in the data used to train machine learning AI. In our second episode, she talks about why we need more diversity in AI, problematic junk in, junk out data sets and what it was like being the only female researcher in early AI labs. Host: Pieter Abbeel Executive Producers: Ricardo Reyes & Henry Tobias Jones Audio Production: Kieron Matthew Banerji Hosted on Acast. See acast.com/privacy for more information.
On the Clock: High School Junior Ana DuCristea Creates Timely AI-based Reminder App - Ep. 133
Canadian high schooler Ana DuCristea has a clever solution for the quarantine blues, as days blur into weeks. Using AI and natural language processing, she programmed an app capable of setting customizable reminders so you won’t miss any important activities, like baking banana bread or whipping up Dalgona coffee.
DuCristea, who’s familiar with Python and has taken a variety of online AI courses, set to work on the app after winning a Jetson Nano Developer Kit this summer at AI4ALL, an AI summer camp. She’d long been frustrated with the simplicity of current reminder apps and decided to create her own solution.
Using Python and the Nano, DuCristea developed an app in just two months that integrates with mobile and PC messaging program Discord. With the app, users can message a bot on Discord requesting a reminder for a specific task, date and time.