Deep Learning for Science

Deep learning has enabled major breakthroughs in the fields of computer vision, speech recognition, and control systems. These breakthroughs have enabled a host of commercial applications. In our first webinar of the Deep Learning Webinar Series, we will discuss the following questions:

• Can deep learning revolutionize scientific applications?
• Can deep learning effectively process scientific data?
• What are the similarities and differences between commercial and scientific applications?

We will explore the answers to these questions through a range of use cases spanning astronomy, cosmology, climate, neuroscience, and nuclear and particle physics.

Attendance is limited to 500; please connect to the webinar early to guarantee a spot.

Log in to the webinar

1. If you are a MIDS student, log in with your normal credentials; otherwise, type in your name and enter the room as a guest. There may be a short waiting period; please be patient.

2. When you get into the room, a popup window will appear with instructions to connect your audio.

   • If you are accessing the session from within the United States, click on the “Dial-Out” option, type in your phone number and choose “Join.” You will receive a call directly from the room's conference line. Answer it to connect to the lecture's audio.

   • If you are accessing the session from outside of the United States, click on the “Dial-In” option. The conference number and participant code will appear so that you can access the audio from your phone or Internet phone service.

To run a compatibility test to ensure that your system is properly configured, please go to http://link.datascience.berkeley.edu/907SFM2620001Lz004c9Q00