Title: The Metaverse: A New Era of Industries and AI
Richard Kerris
NVIDIAAbstract
The metaverse is the next evolution of the web - a 3D internet of connected, persistent, virtual worlds. Some of these worlds will be used for gaming, socializing, and meeting. Many others will be used for industrial workflows and use cases such as digital twins to test, optimize then manage industrial and scientific workloads, or as virtual training grounds for teaching and testing robots and autonomous vehicles. Join this talk to understand how NVIDIA is contributing to building the foundations for the open metaverse with its ecosystem of partners, and the opportunity of virtual worlds for applications beyond entertainment.
About the speaker
Richard Kerris is vice president of the Omniverse developer platform and is the industry general manager for media and entertainment at NVIDIA. With a career spanning Apple, Lucasfilm and Amazon/AWS, Richard’s experience combines driving marketing and product development with a focus on bringing new ideas to life. At Apple, he directed developer relations and managed Final Cut Pro, Logic and Aperture. At Lucasfilm, he served as CTO, managing research and development, IT and information services. He currently serves on the Bay Area Board of the Visual Effects Society and as an active member of the Society of Motion Picture and Television Engineers.
Title: Interactive Visual Analysis at Scale: From Data to Actionable Insights
Fábio Miranda
UICAbstract
Cities are the loci of resource consumption, economic activity, and innovation; they are where our looming sustainability problems were born and where those problems must be solved. Given our increasing ability to collect, transmit, store, and analyze data, we can go beyond today’s imperfect and often anecdotal understanding of cities to enable better operations, better planning, and better policy. To understand cities, we must analyze the data exhaust from their components – infrastructure, environment, and people – and how they interact over space and time. In this talk, I will present my most recent contributions in the interactive visual analysis and exploration of large data, motivated by topics such as environmental justice, urban noise, neighborhood characterization, accessibility, and 3D urban analytics. The techniques and tools have been used by different domain experts, including urban planners, architects, occupational therapists, public health experts and acoustics researchers, allowing them to engage in data-driven science to better understand cities.
About the speaker
Dr. Miranda is an Assistant Professor at the Department of Computer Science at the University of Illinois at Chicago and part of the Electronic Visualization Laboratory. He is interested in developing techniques that allow for the interactive visual analysis of large-scale data, combining methods from visualization, data management, machine learning, and computer graphics. In particular, he focuses on how visual data analytics can help address different problems cities face by integrating data on different resolutions and from different sources. He has worked closely with domain experts from different fields and the outcome of these collaborations included not only research published in visualization, database, and artificial intelligence venues, but also systems that were made available to experts in academia, industry, and government agencies.
Title: Deep Learning for Remote Sensing Image Analysis
Danfeng Hong (洪丹枫)
Chinese Academy of SciencesAbout the speaker
Prof. Danfeng Hong is currently a Professor with the Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS). Before joining CAS, he has been a Research Scientist and led a working group: Spectral Vision at Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR).
Title: Fighting Covid-19 from medical imaging perspective
Cosimo Distante
ISASIAbstract
Since the appearance of Covid-19 in the end of 2019, Covid-19 has become an active research topic for AI community. AI community has provided a huge number of potential uses and applications that can help the healthcare staffs in fighting the Covid-19 pandemic. From epidemiology to medical imaging models have been proposed in literature, along with several datasets coming from several sensing systems. My talk will address the medical imaging research activity done at CNR-ISASI in Italy, where I will introduce the proposed dataset in Xray and CT-Scans and the models we have proposed to recognise the presence of the virus and the estimation of the severity in terms of percentage of occupation in lung from volumetric data.
About the speaker
Received his degree in Computer Science in 1997 at the University of Bari and Ph.D. in Engineering in 2001 at the University of Salento, with a research ship stage as a visiting researcher at the Computer Science Department of the University of Massachusetts at Amherst MA (USA). He joined the Italian National Research Council CNR in 2001 and the National Institute of Optics of the CNR in 2009. He has been awarded the national innovation Prize working capital PNI-Cube with the project Taggalo and by the Senate President and Minister of Education University and Research of the Republic of Italy with the “Prize of the Prizes” for Innovation. He is currently with the Institute of Applied Sciences and Intelligent systems (ISASI), Lecce, and he teaches “Image Processing” and “Pattern Recognition” at the Computer Engineering course of the University of Salento. His main research interests are in the field of computer vision and pattern recognition applied to audience measurements, security, and surveillance, robotics, medical imaging, and manufacturing.