Announcements + Events

April 30, 2019

The Duke Machine Summer Learning School will be offered June 17-21, 2019 focusing on the areas of machine learning that have made the biggest advances in utility over the last several years, including deep learning. The class will concentrate on methods that allow machine-learning algorithms to train effectively on massive datasets, i.e., “big data.” Emphasis will be placed on the latest methods for image and video analysis, natural language processing, reinforcement learning, and data synthesis/modeling.

March 29, 2019

The +DS Projects in Medicine and the Health Data Science Internship Program will hold a student showcase on Thursday, April 25, 2019 from 10 AM – 12 PM in the Gross Hall Atrium.

Students will present posters and “lightening talk” presentations about their work. We invite you to join us to learn about their work, and converse with the students, mentors, faculty, and staff. Light refreshments from Foster’s Market will be served.

March 18, 2019

Machine learning is a field characterized by development of algorithms that are implemented in software and run on a machine. Recently, with increasing access to massive datasets, and to significant advances in computing resources, the quality of machine learning performance (e.g., prediction accuracy) has improved markedly. Further, over the last five years, significant advances have been made in a subfield of machine learning called “deep learning.”

February 28, 2019

Wednesday, March 20, 2019 from 6–8 PM
Ruby Lounge, Rubenstein Arts Center

Artificial Intelligence (AI)-generated art has been trending in the news recently, and +DS is excited to hold a reception for more than 20 entries in the Duke AI for Art Competition created by Duke students, faculty, and staff.

February 17, 2019

The Machine Learning School for the School of Medicine (MLS-SOM) is being offered for the first time in March 2019. The MLS-SOM program is designed to introduce Duke University School of Medicine faculty and staff to machine learning and its current and anticipated impact on clinical practice.

January 2, 2022 - 9:00 am to January 4, 2022 - 4:00 am
January 11, 2022 - 4:00 pm to 5:00 pm