Accessible Artificial Intelligence for Cancer Research
DCEG Events
May 2, 2019 | 10:30 AM – 11:30 AM
NCI Shady Grove Rockville, MD
DCEG Seminar
Speaker
Jason H. Moore, Ph.D.,
Edward Rose Professor of Informatics
Director, Institute for Biomedical Informatics
Director, Division of Informatics,
Department of Biostatistics, Epidemiology, & Informatics
Senior Associate Dean for Informatics
The Perelman School of Medicine
University of Pennsylvania
Description
Artificial intelligence (AI) has finally emerged as a useful tool for big data analytics. This is due to decades of research that have provided powerful algorithms and the availability of plentiful computing resources. Despite these advances, AI is not widely accessible due to a steep learning curve and the expense and black box nature of software provided by commercial vendors such as IBM. In response to this need, we have developed an accessible, open-source, and user-friendly AI system at the University of Pennsylvania (PennAI) to bring AI and automated machine learning technology to everyone who wants to incorporate this technology into their big data analytics agenda. We will provide an overview of the system and an update on its features. We will discuss its application to cancer research.
Host
Rachael Stolzenberg-Solomon, Ph.D., M.P.H., R.D., Senior Investigator, Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI
Meeting number (access code): 731 455 619
Meeting password: DCEGseminar1!
JOIN FROM A VIDEO SYSTEM OR APPLICATION
Dial sip:731455619@cbiit.webex.com
You can also dial 173.243.2.68 and enter your meeting number.
JOIN BY IPHONE ONE-TAP
tel:+1-650-479-3207,,*01*731455619%23%23*01* Call-in toll number (US/Canada)
JOIN BY PHONE
1-650-479-3207 Call-in toll number (US/Canada)
Can't join the meeting? Contact support here:
https://cbiit.webex.com/cbiit/mc
IMPORTANT NOTICE: Please note that this WebEx service allows audio and other information sent during the session to be recorded, which may be discoverable in a legal matter. You should inform all meeting attendees prior to recording if you intend to record the meeting.