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Past In-Person Learning Experiences

 

Wednesday, February 19 - 4:30pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Kevin Liang

PyTorch is an open source machine learning framework popular for building neural networks. In this hands-on session, we'll walk through building and training a neural network, introducing the basic mechanics of PyTorch. Bring a laptop and be ready to code!

Thursday, February 13 - 4:30pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Jessilyn Dunn

Recent technological advancements make it possible to closely and continuously monitor patients on multiple scales, both inside and outside of the clinic.

Wednesday, February 12 - 4:30pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: David Carlson

In machine learning, models are developed to represent and make predictions based on data. The model starts with random parameters and must “learn” these parameters by using historical data.

Wednesday, February 5 - 4:30pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Qiang Qiu

The basic concepts of neural networks are introduced, with a focus on intuition. The simpler and widely used logistic regression model is introduced first, and from this the neural network is introduced as a generalization.

Thursday, January 23 - 4:30pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Timothy Dunn

The convolutional neural network (CNN) represents the current state-of-the-art for image and video analysis, and is increasingly used for analyzing time series and other data with spatial or sequential structure.

Tuesday, December 3 - 4:30pm
Location: Perkins, LINK 088 (Classroom 4)
Instructor: Matthew Kenney

The democratization of AI has touched every industry, including the visual and interactive arts. In this IPLE we will overview how artists have adopted AI into their art practices, and have leveraged AI to make new and exciting works.

Thursday, November 21 - 4:30pm
Location: Hudson Hall, 139
Instructor: Kevin Liang

While image classification to a single class label can be useful, we are often also interested in where an object instance is located within an image. Such a problem is known as Object Detection.

Wednesday, November 20 - 4:30pm
Location: Perkins LINK , 071 (Classroom 5)
Instructor: Matthew Kenney

The democratization of AI has touched every industry, including the visual and interactive arts. In this IPLE we will overview how artists have adopted AI into their art practices, and have leveraged AI to make new and exciting works.

Tuesday, November 19 - 4:30pm
Location: Fitzpatrick Center (FCIEMAS), Schiciano Auditorium, Side B
Instructor: Dinghan Shen

Mobile devices have become a vital platform for deploying state-of-the-art natural language processing (NLP) techniques, due to their ubiquity and portable nature.

Monday, November 18 - 4:30pm
Location: Hudson Hall, 125
Instructor: Ricardo Henao

Omics aims to understand biological processes by leveraging high-throughput technologies and data science. Aided by subject matter expertise, this combination has resulted in accelerated discoveries in health and disease.