Deep Learning in the Enterprise: the Potential, the Pitfalls, and the Possibilities
In the past couple years, developments in Artificial Intelligence have captured the public imagination. Google and Facebook are designing systems that understand images well enough to describe them in words. Neural networks can translate language as well as trained experts, idioms and innuendos included. Even artistic pursuits, the supposed privilege of homo sapiens, are being encroached by the burgeoning field of Computational Creativity.
But how do these powerful technologies manifest themselves in practice? Taking an industry-centric approach, we’ll examine such questions as:
Sheldon Fernandez, VP of Engineering, Infusion: Sheldon Fernandez is the VP of Engineering for Infusion, a digital transformation and consultancy firm that was acquired by Avanade in February of this year. During the last 16 years, Sheldon helped grow the company from 6 people to over 650 with offices around the world. In the formative years, he served as the company’s chief architect, and was been responsible for honing the firm’s technical direction amidst ongoing industry changes. Additionally, Sheldon served as Chief Technical Officer for the noteworthy Infusion spin-off, PersonIf (www.personif.com) a ‘people discovery’ platform that radically changed the way the entertainment industry locates talent. In addition to winning Microsoft’s cloud solution of the year award in 2012, the technology was used as the casting engine for The Glee Project, X-Factor, American Idol and Sports Illustrated.
Finally, Sheldon has coupled his entrepreneurial endeavours and engineering exploits with numerous non-technical pursuits. He completed a Master’s degree in theology at the University of Toronto in 2008, and pursued thesis work in the area of neuroscience and metaethics. He has anchored his humanitarian sensitives with the African Jesuits Aids Network (AJAN) in Nairobi, where he assisted with infrastructure projects and HIV/AIDS education. He also pursued creative writing at Oxford University to hone his interests with literary craft, and finally, completed a professional training program at the Montreal Institute for Genocide Studies in mass atrocity prevention.
Artificial Intelligence in Medical Imaging
Artificial Intelligence in medical imaging is going through great changes with tremendous new opportunities showing up. The rise of machine learning especially deep learning, the rise of big data analytics and the rise of cloud computing, have brought wonderful opportunities to invent the next generation of AI techniques, not only to solve new problems appearing, but also to solve many years challenges in conventional medical image analysis with much more satisfactory real-time solutions. This talk will share our view and experience on developing the state-of-art new generation of AI to help physicians, hospital administrative to analyze the huge growing medical data and help them to make the right decision and early decision.
Shuo Li, Director, Digital Imaging Group of London: Dr. Shuo Li is the director of Digital Imaging Group (DIG) of London, an associate professor in the department of medical imaging and medical biophysics at the University of Western Ontario and scientist in Lawson Health Research Institute. Before this position, he was a research scientist and project manager in General Electric (GE) Healthcare for 9 years.
He founded the DIG (http://digitalimaginggroup.ca/) since 2006, which is a highly dynamic and multiple disciplinary group. He received his Ph.D. degree in computer science from Concordia University 2006, where his Ph.D. thesis won the doctoral prize giving to the most deserving graduating student in the faculty of engineering and computer science. He has published over 100 publications; He is the recipient of several GE internal awards; He serves as guest editors and associate editor in several prestigious journals in the field; He serves as program committee members in highly influential conferences; He is the editors of six books. His current interest is development intelligent analytic tools to help physicians and hospital administrators to handle the big medical data, centered with medical images.
The Rise of Robot Doctors?
The ubiquity and accessibility of computing power has given rise to its use in many data-rich applications and sectors. One example of these applications is medicine which has seen a surge of efforts in implementation of machine learning to automate the diagnostic process. It is true that some fields of medicine have substantially benefited from such implementation of machine learning. Advanced algorithms have been utilized to observe and detect features that are not readily accessible to naked eyes, differentiate between similar cases resulting in different patient outcome, predicting immanent catastrophic health events, and in general assimilating a large volume of seemingly unrelated data to extract meaningful information that could then aid a physician in performing clinical diagnosis. In this talk, I will outline some of the innovative ways that artificial intelligence is being used in medicine to do some truly amazing things. While these approaches may often times seem far superior to a trained human physician in terms of diagnostic performance, I will argue that we will not be getting our medical diagnosis from a robot wearing a lab coat any time soon!
Farnoud Kazemzadeh, CEO, Elucid Labs: Dr. Farnoud Kazemzadeh is formally trained as an astrophysicist with a B.Sc. degree from the University of Waterloo. He pursued a M.Sc. in Space Sciences at the International Space University in France. There, he found his passion in optics and photonics and returned to the University of Waterloo to complete his M.A.Sc. and Ph.D. degrees in optical engineering. He is an internationally recognized leading expert in optics and photonics specializing in interferometry, spectroscopy, holography, and microscopy. As a scientist, he has placed his instruments on various telescopes, planetary probes, and the International Space Station. As a serial entrepreneur, he has successfully lead the design and development of high-performance optical devices for several startups. He is an Adjunct Professor in the Department of Systems Design Engineering at the University of Waterloo and is the co-founder and CEO of Elucid Labs, a medical technology company that harnesses the power of artificial intelligence and computational imaging for various applications in medicine.