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Faculty Mini-Lectures

Prof. LePendu

LePendu
Title: What is Natural Language Processing (NLP)?
Time: 10:00 - 11:00 a.m. Location: Bourns A265

Abstract: How does Alexa learn? Why can't she make sense of what I said five seconds ago? How did robotic voices become so human-sounding recently? These and other questions are at the heart of natural language processing today, which includes the art of understanding human speech by computers. The field is in its golden age and advancing at ever-accelerating rates thanks to recent advances in neural network architectures and computing infrastructure. But will AI take over the world? That remains to be seen (but probably not in my lifetime).

Prof. Chen

Jia Chen
Title: Machine Learning in Everyday Life
Time: 10:00 - 11:00 a.m. Location: Winston Chung 205/206

Abstract: We have all heard about machine learning and its promise for the future. However, the truth is that machine learning is already present in our everyday lives in many ways! In this lecture, we will explore some of the applications that machine learning has successfully revolutionized, including Google Search and how it easily offers us the related articles and resources based on only a few words, how platforms like Netflix or Amazon can always show us the movies or products we are interested in, and how self-driving cars can "see" their surroundings. Finally, we will conclude with some late-breaking research results demonstrating how a machine learning algorithm can identify COVID-29 symptoms from Google Search trends.

 

Prof. McKee

Mckee
Title: Bioengineering Instructional Lab Tours.
Time: 10:00 - 11:00 a.m. Location: meet at Bytes Café

Description: Touring Bioengineering Labs with Professor Mckee.

 

Prof. Knight

Allan Knight
Title: Signed Integers in Binary: An off-by-one error to the rescue
Time: 11:00 - 12:00 p.m. Location: Bourns A265.

Abstract: The focus of this lecture will be discussing how we represent both positive and negative integers in binary. We'll discuss how the solution that is used across most computing platform in existence today is used across most computing platforms in existence today is actually just a correction to the common off-by-one error. Students, engineers, and academics often encounter this error, and its solution is very simple.

 

Prof. Liu

Huinan Liu
Title: Biomaterials and Tissue Engineering
Time: 11:00 - 12:00 p.m. Location: Winston Chung 205/206.

Description: This mini-lecture will discuss the concepts and examples of biomaterials and tissue engineering for regenerative medicine.

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