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Featured Article: MIT Researchers say their AI Model can Identify Asymptomatic COVID-19 Carriers

Person with mask and virus particles surrounding

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.

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Limited Time Offer: Technical Community Package Deal

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IEEE Day is celebrated annually on the first Tuesday of October. In honor of IEEE Day 2020, which was celebrated on 6 October 2020, for a LIMITED TIME join 3 IEEE Future Directions Technical Communities for the price of one. This promotion expires on 31 October 2020, and is valid only on the following three initiatives:

•  IEEE Blockchain: More than Cryptocurrency, blockchain is a technological foundation to a new way of conducting transactions, securing networks, and recording the validity and origin of data. Blockchain will allow a new perspective on how humans interact to society's challenges; touching upon everything from financial transactions, energy trading, carbon emission trading, protection and easy access to healthcare records, to the protection of the valued assets of corporations and nation-states.
•  IEEE Digital Reality: This initiative serves to enable the coming Digital Transformation through collaboration among technologists, engineers, regulators, and ethicists. The Digital Transformation is fueled by advances in sensors and actuators, artificial intelligence (AI), and machine learning (ML). By leveraging these technologies and others, such as augmented reality (AR), virtual reality (VR), and Digital
Twins, the line between the physical world and the digital world will be increasingly less distinct.
•  IEEE Rebooting Computing: IEEE seeks to rethink the computer, "from soup to nuts," including all aspects from device to user interface.
This group works from a holistic viewpoint, taking into account evolutionary and revolutionary approaches.

Blockchain Logo     DigitalReality Logo2     RebootingComputing Logo

The following Promo Codes can be applied at checkout:

 *Offer expires 31 October 2020. For questions, please contact This email address is being protected from spambots. You need JavaScript enabled to view it. 
 

New Article: What is Augmented Intelligence?

mixed reality video

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.

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The IEEE and Digital Transformation: A Presentation to DEWA

water electricityOn 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 the 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 the Digital Transformation and is being developed in collaboration with IEEE Digital Reality, the EIT Digital Professional School, and the IEEE Educational Activities committee.

View the recording.  

 

New Volunteering Opportunity

social media 862133 1920About the IEEE International Network Generations Roadmap (INGR)
Artificial Intelligence/Machine Learning Working Group

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.

Development of the IEEE International Network Generations Roadmap (INGR) has produced a technical community that fosters the exchange of ideas, sharing of research, setting of standards, and identification, development, and maturation of system drivers, system specifications, use cases, and supported applications. As work continues with the Second Edition, new experts are encouraged to participate, to evolve and strengthen this crucial document. If you're interested in joining and/or learning more about the Artificial Intelligence/Machine Learning working group, please email This email address is being protected from spambots. You need JavaScript enabled to view it.. To learn more about the IEEE INGR, click here

 

New White Papers

covid virusPersonal Digital Twins and their Role in Epidemics Control
IEEE Digital Reality - April 2020

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)

healthcareDigital Transformation in Healthcare
IEEE Digital Reality - February 2020

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)

Access more white papers on the Publications page

 

Digital Transformation

Digital Transformation

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).

Read the blog posts

 

  

IEEE Digital Reality Announces Collaboration with IEEE ICICLE XR SIG

IEEE ICICLE

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.

Read more at the IEEE ICICLE website

 

 

IEEE Digital Reality Podcast Series

IEEE Digital Reality Podcast Series

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!

Listen to the podcast

 

 

 

IEEE Digital Reality at AWE USA 2018

Advanced Broadcast Technology - Augmented World Expo (AWE 2018)Advanced Broadcast Technology: AR, VR, & XR Technologies and Development
Advanced Broadcast Technology

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.

Watch the video