Alexandre Passos
Software Engineer Google
April 12, 12pm-1pm Room N923
In this talk we’ll go over TensorFlow, an open- source cross-platform machine learning library developed by Google, and explore its new feature: eager execution. We’ll go over how to use it to write dynamic models, to debug and profile models, and to learn deep learning.
Posted in Research, Uncategorized
Tagged AI, Eager Execution, machine learning, TensorFlow
Will Ross
Business Development, M& A
IBM Watson Group
In a world of open data and consumer platforms it is easy to forget the significant quantities of high-value data still held by entities who view or require those assets to be proprietary. A myriad of parties from corporations to government entities are keen to explore new advances in AI but do not recognize the challenges that will befall them as they try to protect the data assets that are their lifeblood. ‘Applied AI’ is the study of the novel techniques required to translate AI innovations into agents of value creation for this silent majority. We’ll explore the limitations of today’s most commonly applied AI techniques and discuss a variety of ways institutions are accommodating these shortfalls. We’ll also spend some time on exciting new results in the nascent field of few shot learning to inspire further hope for the future and show that there is core innovation in AI still to be accomplished.
Posted in Research
Yu-Wen Chen, PhD
Assistant Professor, CST Dept.
December 7, 12pm-1pm, Room N907
Dr. Chen presents an introduction to smart grid and cloud computing as the foundation for the design of customer-oriented energy-efficient systems (EmaaS). These systems provide financial incentives to customers thus enhancing the renewable energy sources(solar, wind, electrical) integration with the smart grid community.
Posted in Research
