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Inaugural IEEE International Conference on Intelligent Reality (ICIR)
Technological integration of smart interactive devices, immersive technologies, and AI machine learning algorithms is the future of propelling Intelligent Reality (IR). Utilizing innovative technology, such as sensors, immersive computing, and AI machine learning can provide a real-time decision-making user experience with analytics capability within the immersive space. The first IEEE International Conference on Intelligent Reality will explore real-time analytics capability by integrating and deploying AI machine learning into immersive (VR, AR, MR, and XR) space.
Call for Papers and Competition (PDF, 1 MB)
IEEE Digital Reality - November 2020
By IEEE Digital Reality Initiative Working Group
The FDC Initiative on Digital Reality felt there is a need to look at the Digital Transformation from the point of view of a profound change that is pervading the entire society—a change made possible by technology and that keeps changing due to technology evolution opening new possibilities but is also a change happening because it has strong economic reasons. The direction of this change is not easy to predict because it is steered by a cultural evolution of society, an evolution that is happening in niches and that may expand rapidly to larger constituencies and as rapidly may fade away. This creation, selection by experimentation, adoption, and sudden disappearance is what makes the whole scenario so unpredictable and continuously changing.
IEEE has made the progress of “technology to benefit humanity” its banner. It is just appropriate to use the tremendous capital of knowledge and skills of its volunteers to look at Digital Transformation from this point of view.
Access the white paper (PDF, 8.77 MB)
By Roberto Saracco with Juuso Autiosalo, Derrick de Kerckhove, Francesco Flammini, and Louis Nisiotis
Since the shift from nomadic life, to aggregation in clusters or cities, humanity has faced epidemics. It is the cluster of people that provides the fertile environment for viruses to jump from one host to the next, generating an epidemic. The geographical distance among clusters is a barrier to the spread of the epidemics; traveling from one locale to another was the only way to continue the spread. In the past, the epidemics spread along the commerce, maritime, and land pathways. Travel was slow and sporadic so an epidemic took years to become a pandemic.
Today we have both bigger clusters (megacities and cities that on average are much bigger than the ones of the past) and much faster and denser traffic among clusters. This fuels both epidemics and pandemics.
Access the white paper (PDF, 2.7 MB)
By Roberto Saracco, Co-chair, IEEE Digital Reality Initiative
Healthcare costs are on the rise, and this is causing an increased interest in automation. However, it should be noted that in a few health care areas automation is sought to deliver better quality, like in pharmaceuticals or assistive automation in surgery which enables procedures that go beyond human abilities (micro surgeries among others). In surgery, there is a growing digital transformation, with diagnostic procedures generating data that are analyzed automatically, creating a model that is used for simulating procedures and eventually used by autonomous or semi-autonomous systems in surgery.
Access the white paper (PDF, 2 MB)
By Roberto Saracco, IEEE Senior member and leader in the Industry Advisory Board within the Future Directions Committee and co-chair of the Digital Reality Initiative
The general public tends to have a very “sci-fi” view of artificial intelligence (AI), imagining robots and computer systems independent of—and often antithetical to—their human creators. Science fiction has given us HAL 9000, the dehumanizing Borg of Star Trek, and the robotic assassins of the Terminator series. AI is popularly seen as human-made but essentially inhuman, where cold, logical software takes human intelligence out of the decision-making process. The truth is more nuanced.
While independent AI systems are necessary for many types of technology, their intelligence is generally limited to specific applications: an AI system used as a virtual customer service representative, such as eBay’s Louise, lacks the capacity to seize control of the planet.
And while some AI technology is intended to operate autonomously, one of the most useful types of AI—augmented intelligence (also known as intelligence amplification, or IA)—uses machine learning and predictive analytics of data sets not to replace human intelligence, but to enhance it.
By Kyle Wiggers, VentureBeat Staff Writer
Information obtained through an IEEE Journal of Engineering in Medicine and Biology paper by Jordi Laguarta, Ferran Hueto, and Brian Subirana
Researchers at MIT say they’ve developed an algorithm that can diagnose COVID-19 by the sound of someone’s cough, even if that person is asymptomatic. In a paper published in the IEEE Journal of Engineering in Medicine and Biology, the team reports that their approach distinguishes between infected and healthy individuals through “forced-cough” recordings contributed via smartphones, laptops, and other mobile devices.
Applying AI to discern the cause of a cough isn’t a new idea. Last year, a group of Australian researchers developed a smartphone app that could ostensibly identify respiratory disorders like pneumonia and bronchitis by “listening” to a person’s exhalations.
In a keynote address presented to the 2020 IEEE 5G World Forum plenary session, Thyaga Nandagopal from the National Science Foundation discusses why artificial intelligence is important for 5G, the challenges of implementing AI for 5G, and the strategies for implementation.
The IEEE and Digital Transformation: A Presentation to DEWA
On 7 October 2020 the IEEE Digital Reality initiative co-chair, Dr. Roberto Saracco, served as a panelist on a virtual event, pertaining to the Digital Transformation, presented to DEWA (Dubai Electricity & Water Authority) staff members and subject-matter experts.
During the event, Dr. Saracco presented on Digital Transformation and explained how the IEEE Future Directions Committee is fusing a variety of technological areas across various societies. In addition, Dr. Saracco provided a preview of a course that will be released soon. This course focuses on Digital Transformation and is being developed in collaboration with IEEE Digital Reality, the EIT Digital Professional School, and the IEEE Educational Activities committee.
Advanced Broadcast Technology shows highlights of new technology in AR, VR, and MR at the 2018 Augmented World Expo. The episode features a short overview of the IEEE Digital Reality Initiative. The show also includes technology demonstrations from Animaker, Byond, Epson, Holosuit, Microsoft, NuHeara, Third Eye Gen, and Varjo. The 2018 AWE event was held in Santa Clara, CA.
The purpose of the International Network Generations Roadmap (INGR) is to stimulate an industry-wide dialogue to address the many facets and challenges of the development and deployment of 5G in a well-coordinated and comprehensive manner, while also looking beyond 5G. Future network technologies (5G, 6G, etc.) are expected to enable fundamentally new applications that will transform the way humanity lives, works, and engages with its environment. INGR, created by experts across industry, government and academia, is designed to help guide operators, regulators, manufacturers, researchers, and other interested parties involved in developing these new communication technology ecosystems by laying out a technology roadmap with 3-year, 5-year, and 10-year horizons.
Digital Transformation - Blog series by Roberto Saracco
In this blog series, Roberto Saracco examines the Digital Transformation and its overarching impacts. The shift from the economy of atoms (scarcity) to the economy of bits (abundance) is leading to major disruptions across many industries. Two IEEE Future Directions initiatives have been working on crucial components of the Digital Transformation, Digital Reality (AR and VR) and Symbiotic Autonomous Systems (Digital Twins).
IEEE Digital Reality is proud to collaborate with IEEE IC Industry Consortium on Learning Engineering (ICICLE). Learn more about the ICICLE XR for Learning and Performance Augmentation SIG, which aims to identify and build upon opportunities for supporting learning engineers to leverage current and future virtual reality (VR), augmented reality (AR), mixed reality (MR), and other XR technologies for supporting and enhancing learning and human performance in evidence-based and research-grounded ways.
Check out the first episode in our IEEE Digital Reality Podcast Series. Our first guest, Conor Russomanno, Director of Advanced Interfaces at Meta and co-founder and CEO of OpenBCI, shared his views on the future of AR and VR, brain computer interfacing, key challenges, and more!