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Of Elephants, Pumpkins, and Self-driving Cars: New Trends and Old Problems in AI In-Person / Online

Keynote Speaker: Alessandro Oltramari (Bosch Research, Pittsburgh)


Large Language Models (LLMs) display great skills in surfing on vast oceans of text, but are not apt for submerging beneath the surface, and explore the depth of contextual meaning. This diagnosis emerges by dissecting the mistakes that LLMs like ChatGPT make, which show lack of reasoning capabilities, alongside the indisputably impressive linguistic talent. Such deficiency goes beyond language and affects AI solutions used in a variety of tasks, including automated perception and decision support.

In my keynote I will show how contemporary AI systems still suffer from old problems and offer a path to overcome these limitations.

Date and Time: Monday, October 16th at 4pm. In-person at hale in Hale Library Room 181

Also at Manhattan Public Library

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Monday, Oct 16 2023
4:00pm - 5:00pm
Time Zone:
Central Time - US & Canada (change)
Hale Library, Room 181
Manhattan Campus
  Community     Faculty/Staff     Students  

Registration is required. There are 99 in-person seats available. There are 288 online seats available.


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Alice Anderson

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