Kilian Weinberger is an Associate Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning under the supervision of Lawrence Saul and his undergraduate degree in Mathematics and Computer Science from the University of Oxford. During his career he has won several best paper awards at ICML (2004), CVPR (2004, 2017), AISTATS (2005) and KDD (2014, runner-up award). In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. He was elected co-Program Chair for ICML 2016 and for AAAI 2018. In 2016 he was the recipient of the Daniel M Lazar ’29 Excellence in Teaching Award. Kilian Weinberger’s research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, machine learned web-search ranking, computer vision and deep learning. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.
Almost done! Check your email to get your password.
Machine Learning
Advancements, Opportunities, and Dangers
Thursday, January 09, 2020, 1pm EST
Event Overview
Machine learning is emerging as one of today’s fastest-growing fields. As automation and artificial learning expand into nearly every industry, those who understand machine learning are sure to be in ever higher demand on the job market. And as machine learning opens up new opportunities across a number of diverse sectors, possibilities within the field seem nearly endless. But as with all new innovations, there is also the danger that its potential will be overhyped and create unrealistic expectations.
What You'll Learn
- Learn about the newest advances in machine learning and AI.
- Understand how this rapidly advancing field is creating new job opportunities.
- Explore how machine learning and AI are improving sectors like medical care, transportation, and communications.
- Discuss how machine learning may lead to false expectations, unrealistic hype, and even abuse.
Speaker
Kilian Weinberger
Associate Professor
Cornell Bowers College of Computing and Information Science
Associate Professor, Cornell Computing and Information Science
View Keynote by completing the form below.
Gain access to this free event
Thanks,
You're Registered!
You're Registered!
Join or sign in to tailor your experience and earn CEUs from Cornell.
Create Account