In this talk, Dr. Chen will share his recent research results on machine learning, reconfigurable computing, GPU computing, and cognitive application benchmarking.
This talk will discuss the cutting edge of user attribute inference, discuss the applications of this work, and address the myriad of privacy concerns that these algorithms provoke.
This talk will give a brief summary of the history of TREC and then describe one or two tracks in more detail covering task definition, evaluation methodology, and lessons learned.
The talk will focus on use cases related to smart culture, (e.g. enrichment of cultural heritage collections of artworks, videos, newspapers, etc.), and will show how the CrowdTruth framework (http://crowdtruth.org) facilitates data collection, processing and analytics of human computation knowledge.
Can we trust an autonomous vehicle to share the same road, lane, sidewalk or the community where we live? In this talk, Dr. Ashish Kundu will discuss some of the pillars of trusting theses ransportation robots expected to solve one of the most challenging problems of computing.
Dr. Jon Peddie is a recognized pioneer in the graphics industry, President of Jon Peddie Research and named one of the most influential analysts in the world.
In this Dr. Tanveer Syeda-Mehmood (IBM Fellow and the Chief Scientist/overall lead for the global Medical Sieve Radiology Grand Challenge project in IBM Research) will discusses the role of deep learning techniques in decision support giving examples in radiology and cardiology imaging.
The web is a reflection of us, the people. We carry our biases to the cyberspace. The goal of the talk is to point out the the different biases that affect all of us on the Web. Awareness is the first step to be able to fight and reduce the vicious cycle of bias.
Intel is at the forefront of VR, providing an ecosystem of capabilities and partnerships driving this technology’s massive potential to merge physical and digital worlds in real time.
In a panel discussion, Rick Hutley & Jim Hetrick will discuss what evolving concepts in Big Data, Data Science and Machine Learning, AI and cognitive applications mean to management in present business world. How managers can use data science and the kinds of questions they can (and can’t) expect Analytics to address for them?
