Select a calendar:
Filter May Events by Event Type:
Events for May 21, 2024
-
Aviation Law & Aviation Dispute Resolution LEGAL 24-2Tue, May 21, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed to provide information on the legal risks inherent in aviation operations and an overview of the legal system as it relates to aviation safety. It provides an understanding of the various legal processes relating to aviation and discusses ways to engage aviation authorities responsibly and successfully. The judicial process, current litigation trends, legal definitions, and procedures are also covered.
Our experienced aviation lawyers, as instructors, will encourage "preventative legal medicine" to avoid legal problems. Classes are not just lectures but include interactive issue-spotting so that students can get relevant legal advice from their organizations' lawyers if and when legal problems develop.Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ALEGAL2
-
Advanced Software Safety ADVSFT 24-1
Tue, May 21, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course builds upon the skills learned in the Software Safety (SFT) course. It is presumed and highly recommended that the student understands the importance of software safety in planning, analyzing architecture, designing, and coding and testing automated systems. The course expands upon those skills and presents opportunities to apply them in class in diverse situations using a small unmanned aerial system (sUAS) that is also weaponized.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AADVSFT1
-
PhD Dissertation Defense - Avi Thawani
Tue, May 21, 2024 @ 01:30 PM - 03:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Aggregating Symbols fo Language Modeling
Date and Time: Tuesday, May 21st, 2024 - 1:30p - 3:30p
Committee: Jay Pujara (Chair), Swabha Swayamdipta, Dani Yogatama, Aiichiro Nakano, Gerard Hoberg
Abstract: Natural language is a sequence of symbols. Language Models (LMs) are powerful at learning sequence patterns. The first step for large language models (LLMs) like ChatGPT is to convert text (that humans understand) into indices (that models do). This crucial phase in the Language Modeling pipeline has unfortunately been understudied and is currently achieved by subword segmentation, a manually engineered set of heuristics. I will deep dive into case studies where these heuristics fail and my recommended improvements: for example when representing numbers in text, as well as multi-word phrases. I present an end-to-end tokenized language model that understands both words and numbers better than subwords without any manually engineered heuristic. It also outperforms character-level tokenisation, promising up to 4/6x speed up in inference and training respectively.
I show the benefits of aggregating symbols for language modeling, and investigate key aspects of symbol use in LMs:
1. Aggregating on the number line improves both numeracy and literacy of language models
2. We can learn to aggregate symbols given a corpus with improved language modeling and approximate
3. Learning to aggregate symbols helps downstream performance in certain application areas like neural machine translation of non-concatenative languages
Zoom Link: https://usc.zoom.us/j/96005480765?pwd=TXFUWU5KWjA1S3JtM3FNaWRQZVZOZz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110
Audiences: Everyone Is Invited
Contact: Felante' Charlemagne
