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Thursday, September 22 • 2:05pm - 3:05pm
Machine Learning: Should Health Care “Tay” Away?

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Machine learning and artificial intelligence already are and will continue to be beneficial in health care. However, serious pitfalls dot the health care landscape — while failed experiments like Twitter chatbots may be amusing, mistakes in a medical context can have serious consequences. This talk will demystify the basic concepts of machine learning and several of the freely available tools that are making this technology more and more accessible, as well as explore the pros and cons of machine learning’s expansion across the health care industry.


Speakers
avatar for Mohinder Dick

Mohinder Dick

Senior Software Architect, UPMC Enterprises
Mohinder Dick is a software engineer and architect with more than 12 years of experience in project leadership and managing software technology and processes. He has worked at UPMC Enterprises (formerly the UPMC Technology Development Center) since 2013. Mohinder is passionate about machine learning and leading software development teams of all sorts. He specializes in integration technologies, including cloud services in Windows Azure. Over... Read More →
avatar for Joseph Wright

Joseph Wright

Software Engineer, UPMC Enterprises
Joseph Wright joined UPMC Enterprises as a software engineer nearly two years ago. He has worked on GNU/Linux systems for more than 10 years, developing personal projects in machine learning for the Quantified Self movement. These projects include the HRV-Biofeedback project (http://joegle.com/hrv/) which uses affordable hardware and free software to do biofeedback relaxation training in a web browser. His other projects include personal GPS... Read More →

Partners

Thursday September 22, 2016 2:05pm - 3:05pm
Alloy 26 Auditorium 100 S Commons Pittsburgh, PA

Attendees (60)




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