Career Development
Start your academic year off right with our first Lunch & Learn event of the fall quarter, featuring talks by graduate students in Linguistics and Electrical & Computer Engineering. Come enjoy free lunch and a chance to socialize with and learn from graduate students across the campus.
Start your academic year off right with our first Lunch & Learn event of the fall quarter, featuring talks by graduate students in Linguistics and Electrical & Computer Engineering. Lunch & Learn events are co-sponsored by the Graduate Division and the Graduate Student Association, and you'll enjoy free lunch and a chance to socialize with and learn from graduate students across the campus.
Lunch & Learn
This Edition: Multilingualism and Machine Learning
Friday, âOctober 7
Noon-1:30 p.m.
Student Resource Building Multipurpose Room
âPizza and salad lunch will be provided
*To help us estimate food, âplease RSVP*
â
"Found in Translation:
Latinx Youth Interpreters at Work for Language Access"
Audrey Lopez
Graduate Student in Linguistics
All over the globe, from Ghana to the Bronx and Afghanistan to Santa Barbara, young people work as community interpreters and translators. Yet the impacts of their efforts are often rendered invisible through multiple processes of erasureâ. Here in Santa Barbara, this invisibility encompasses the work of bilingual Latinx youth who frequently interpret for others at school, work, and home. In this talk, Audrey will present two video clips from âher ethnographic research with local Latinx high-school students, followed by a short discussion âon how students negotiate brokering experiences and their understandings of its impact on language access.
"The Impact of Machine Learning in Computer Vision"
Ekta Prashnani
Graduate Student in Electrical & Computer Engineering
Computer vision is a field that deals with gleaning useful information from images for important tasks âsuch as robot navigation, smart surveillance systems, etc. A combination of modern computational techniques and unprecedented advances in parallel computing have brought about extremely promising outcomes in age-old computer vision tasks like recognizing specific objects in images. The accuracy of many algorithms is close to human performance or even superhuman in some cases. Ekta will talk about how machine learning has helped advance the field of computer vision by âdiscussing specific success stories.
This event will be moderated byâ Shawn Warner-Garcia, the Graduate Division's Professional Development Program Coordinator.
Interested in being a presenter at an upcoming Lunch & Learn? Click here to find out more! If you have any questions about this event or Lunch & Learn in general, please email Shawn Warner-Garcia.