IEEE Future Directions

This collection of content is presented by the IEEE Future Directions initiative. IEEE members enjoy discounted access to these videos. To learn more about IEEE membership, please visit http://www.ieee.org/join

To get involved with the IEEE Future Directions initiative, visit http://www.ieee.org/about/technologies

Other resources from the Future Directions initiative, such as slides and tutorials, are available at their resource center.

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Showing 51 - 79 of 79
  • IEEE Future Networks: 5G: What Is It and What New Applications Are Driving Its Formation?

    01:02:36
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    Cellular systems are growing into their fifth generation (5G). Trials of 5G technologies are already underway and extensive deployments of 5G are expected in the coming years. In this webinar, I explain several new revolutionary applications of cellular communication, which place new requirements on the design of 5G. These applications involve vehicular- and aerial-to-everything communications for mobile robots, or ultra-reliable low rate communications in the context of IoT. Then I describe different technical elements of 5G enabling these new applications. Some examples of these technologies are massive MIMO, millimeter wave communication, or network slicing. Finally, I categorize these technologies based on how much they disrupt 4G thinking.
  • IEEE Future Networks: Security in SDN/NFV and 5G Networks - Opportunities and Challenges

    01:02:25
    9 views
    Software Defined Networking (SDN) and Network Function Virtualization (NFV) are the key pillars of future networks, including 5G and Beyond that promise to support emerging applications such as enhanced mobile broadband, ultra low latency, massive sensing type applications while providing the resiliency in the network. Service providers and other verticals (e.g., Connected Cars, IOT, eHealth) can leverage SDN/NFV to provide flexible and cost-effective service without compromising the end user quality of service (QoS). While NFV and SDN open up the door for flexible networks and rapid service creation, these offer both security opportunities while also introducing additional challenges and complexities, in some cases. With the rapid proliferation of 4G and 5G networks, operators have now started the trial deployment of network function virtualization, especially with the introduction of various virtualized network elements in the access and core networks. These include elements such as virtualized Evolved Packet Core (vEPC), virtualized IP Multimedia Services (vIMS), Virtualized Residential Gateway, and Virtualized Next Generation Firewalls. However, very little attention has been given to the security aspects of virtualization. While several standardization bodies (e.g., ETSI, 3GPP, NGMN, ATIS, TIA) have started looking into the many security issues introduced by SDN/NFV, additional work is needed with larger security community involvement including vendors, operators, universities, and regulators. This tutorial will address evolution of cellular technologies towards 5G but will largely focus on various security challenges and opportunities introduced by SDN/NFV and 5G networks such as Hypervisor, Virtual Network Functions (VNFs), SDN Controller, Orchestrator, Network slicing, Cloud RAN, and security function virtualization. This tutorial will also highlight some of the ongoing activities within various standards communities and will illustrate a few deployment use case scenarios for security including threat taxonomy for both operator and enterprise networks. In addition, I will also describe some of the ongoing activities within IEEE Future Network initiative including roadmap efforts and various ways one can get involved and contribute to this initiative.
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  • IEEE Digital Reality: The Epistemology of Algorithms

    01:02:17
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    All human communications, not to mention those of all primates, most vertebrates, and even insects have been mediated by the production of meaning, from mere utterances to the most evolved media. Algorithms produce meaning too, but they achieve it through a process that doesn’t require an understanding (e.g. Google Translate needs no background information and doesn't always make sense). Hence, humans are unable to influence systematically produced algorithms. This fact may present a challenge to epistemology in matters of decision-making, robotics, symbiotic autonomous systems, and ethics.

    Are you knowledgeable about previous pandemics that affected the world? How much of that info do you take into consideration in situations relevant to Covid-19? Learn more about this and the challenges regarding epistemology in matters of decision-making, robotics, symbiotic autonomous systems, and ethics.

  • IEEE Digital Reality: Power of AI: the Future of Public Transportation

    00:45:46
    195 views

    What if buses didn't have predefined routes? It's an easy enough question to describe and, even without being steeped in the world of optimization, logistics, or even transportation, one can come up with many different visions of how a bus system without bus lines may function. That is the beauty and the curse of the question...

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  • IEEE SDN: ONOS Module 2 - An Introduction to Software Defined Networking (SDN) Part 2

    01:08:23
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    The IEEE Software Defined Networks’ eLearning Module 1 “An Introduction to Software Defined Networking (SDN)” covered traditional networking and its basic terms, and introduced SDN and its fundamental characteristics. In addition, the module provided an overview about OpenFlow and its role in SDN development and adoption. In this second module, participants dig deeper into SDN and related concepts. The Introduction to SDN Module 2 covers: A Review of “Things to Consider.” This is to remind the audience of the context in which SDN exists in the network world; SDN Controllers– An Introduction. Below the surface at the brains of the operation; More on Planes, APIs and Software, the S in SDN; More detail on Open Flow and basic aspects of “OF” functionality. This is a critical component of SDN and merits some deeper exploration during this module; A very brief discussion on miscellaneous “Open Stuff”; Some Common SDN Use Cases; And lastly, how SDN will change networking jobs.

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  • IEEE Brain: Data-Driven Modeling of Brain Circuits Based on a Systematic Experimental Platform

    01:01:15
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    The Mindscope project at the Allen Institute aims to elucidate mechanisms underlying cortical function in the mouse, focusing on the visual system. This involves concerted efforts of multiple teams characterizing cell types, connectivity, and neuronal activity in behaving animals. An integral part of these efforts is the construction of models of the cortical tissue and cortical computations. To achieve this, multi-model experimental data are integrated into a highly realistic 230,000-neuron model of the mouse cortical area V1. We perform systematic comparisons of simulated responses to in vivo experiments and investigate the structure-function relationships in the models to make mechanistic predictions for experimental testing. To enable this work, we developed the software suite called Brain Modeling ToolKit (BMTK) and a modeling file format called SONATA. These tools, the models, and simulation results are all being made freely available to the community via the Allen Institute Modeling Portal.
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  • IEEE Digital Reality: Creating New Realities: Convergence of XR and Robotic Technologies

    01:02:23
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    The recent advancements in technology and the exponential increase in the use of interconnected devices have drawn significant interest and influenced the development of complex computing systems. Working with the emerging digital technologies of Virtual (VR), Augmented (AR), Mixed Reality (MR), Digital Twins, and Robots has never been more exciting than today. Especially when these technologies are fused together in innovative ways to allow the development of a new amalgamated reality and provide opportunities that may radically change the way we interact with real and artificial agents, our surroundings, and with each other.

    This webinar presents a new type of Cyber-Physical-Social Eco-Society (CPSeS) system that implements the idea of ‘technological fusion’ by bringing together Mixed Realities, Robots and Social Networking to provide engaging and interactive new 'realities’. This CPSeS goes beyond current virtual environments experiences by encompassing both physical and virtual spaces using cutting edge robotics technology for actuating, sensing, processing and guiding purposes, immersive technologies for visualization, and integrating social inputs between users in the real and virtual worlds, creating a disruptive new paradigm that can contribute to the digital transformation of a wide range of domains.

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  • IEEE Digital Reality: Power of AI: AI/ML in the Era of 5G and Beyond

    01:19:28
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    AI/ML and 5G are a perfect match sharing a mutually beneficial relationship. While 5G offers very high speeds for enhanced mobile broadband (eMBB), support for a massive number of devices (mMTC), and ultra-reliable low latency communications (URLLC). AI/ML complements the technology by learning from complex patterns to provide scope for autonomous network operations, transforming 5G into a scalable real-time network that is data-driven. To optimize performance, AI/ML is used across all layers -- from disaggregated radio access networks (RAN), to integrated access backhauls (IAB), to the distributed cloud layer (Edge/Core). Just as AI/ML is useful for 5G network operations, 5G is useful for AI/ML by providing multiple points of presence for data collection & computing, control loops that can operate in multiple time scales to support distributed intelligence, deployment automation, and orchestration for the life cycle management of models. 

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  • IEEE SDN: ONOS Module 3 - It's All About Control: ONOS SDN Controller

    00:58:31
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    The IEEE Software Defined Networks’ (SDN) eLearning Module 3 “It's All About Control: ONOS SDN Controller” builds on the previous two modules, “An Introduction to SDN: Part 1” and “An Introduction to SDN: Part 2”, which covered SDN and SDN controllers, in general. Module 3 takes a close look at one particular Open Source Controller– the Open Network Operating System (ONOS). This session demonstrates how ONOS fits into the SDN universe; what and how it controls and what problems it solves. In addition, it covers what ONOS brings to the SDN revolution.

  • IEEE Future Networks: 5G mmWave Revolution and New Radio

    01:01:52
    8 views
    The first phase of standardization of 5G cellular systems is currently underway covering bands up to 52.6 GHz while the next phase will cover bands up to 100 GHz. Due to the availability of large bandwidths at mmWave frequencies (20 GHz-100 GHz) the 5G requirements of greater than 10 Gbps of peak rate and edge rates greater than 100 Mbps for extreme mobile broadband (eMBB) applications can be met using a simple air-interface design and high dimension phased arrays. The mmWave systems also face inherent challenges, such as a high penetration loss, a higher sensitivity to blockage and diminished diffraction, which the system must overcome. In this talk, a comprehensive view of mmWave technology will be discussed. Firstly, mmWave challenges and propagation characteristics will be presented with some compelling use cases. Next, the availability of spectrum at mmWave frequencies will be discussed followed by comprehensive description of 5G new radio (NR) interface. Massive MIMO is one of the key features since at mmWave frequencies coverage enhancing solutions are essential to compensate for the higher path-loss. Massive MIMO technology @ mmWave will be discussed along with system performance results. The system performance will cover early use case for pre-5G commercial systems, namely, providing high speed fixed access wireless data service to residential customers in suburban neighborhoods. The effect of foliage, power, ISD, SU/MU MIMO on system performance will also be presented. Finally, some field results on early Proof-of-Concept (PoC) mmWave systems will be presented.
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  • IEEE Brain: Fiberless Optoelectrodes for Selective Optical Neuromodulation at Cellular Resolution

    00:49:47
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    This talk will review the evolution of Michigan neural probe technologies toward scaling up the number of recording sites, enhancing the recording reliability, and introducing multi-modalities in neural interface including optogenetics. Modular system integration and compact 3D packaging approaches have been explored to realize high-density neural probe arrays for recording of more than 1,000 channels simultaneously. In order to obtain optical stimulation capability, optical waveguides were monolithically integrated on the silicon substrate to bring light to the probe shank tips. Excitation and inhibition of neural activities could be successfully validated by switching the wavelengths delivered to the distal end of the waveguide. For scaling of the number of stimulation sites, multiple micro-LEDs were directly integrated on the probe shank to achieve high spatial temporal modulation of neural circuits. Independent control of distinct cells was demonstrated ~50 ?m apart and of differential somato-dendritic compartments of single neurons in the CA1 pyramidal layer of anesthetized and freely-moving mice.
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  • IEEE Brain: Brain Machine Interfaces: Concept to Clinic

    01:27:25
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    Over the last two decades neural prostheses that aim to restore lost motor function have moved quickly from concept to laboratory development and clinical demonstration. In parallel, advances in neural interfacing technologies poised to broaden clinical application of these prostheses are actively in development in both academic and industry settings. In this talk, I will provide a broad overview of the technical history of these neural prostheses starting from enabling neurophysiology insights to work currently being conducted. Additionally, I will describe research within my own lab with the goal of augmenting neural prosthesis performance and expanding their potential application space. This work will highlight key enabling research collaborations in multiple clinical settings and the development of complementary animal models that accelerate development. We will take a few deep dives to describe the application of statistical signal processing, machine learning, and algorithm design to this research domain.

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  • IEEE Digital Reality: Power of AI: Pioneering Drug Discovery with Insilico Medicine

    00:58:27
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    Drug discovery is one of the most complex, risky, and lengthy areas of human development. It takes many highly-intelligent and highly-skilled experts in biology, chemistry, and medicine to discover a drug. It is known that artificial intelligence thrives on data, especially on big datasets of high quality. Fortunately, there is a lot of data generated at each step of the drug discovery process, making it a lucrative application for modern AI technologies.

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  • IEEE SDN: SDN and Security Module 1 - An Introduction to Software Defined Network Security

    00:38:26
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    The IEEE Software Defined Networks’ eLearning Module “An Introduction to Software Defined Network Security” is the first of two modules and gives an overview of the subject with a quick reminder of Software-Defined Networking (SDN) and on the Openflow protocol. Then, the session will provide an introduction to a policy model based security framework that is a great fit to SDN. This presentation will also feature the new risks that SDN introduces and how to mitigate those. And lastly, a recent security concept named Software Defined Security where SDN and Network Function Virtualization (NFV) meet.

  • IEEE Future Networks: 5G and Satellite Spectrum and Standards

    00:59:08
    19 views
    A 40 minute webinar on 5G and satellite spectrum and standards reviewing existing WRC 2019 bands identified for 5G and their compatibility/coexistence with GSO, LEO and MEO Ku, K and Ka band satellite spectrum, summary of NEW LEO constellation capabilities including OneWeb and Space X and LEOSAT, spectrum sharing and frequency reuse opportunities implicit in progressive pitch angular power separation and the potential implications for 5G co sharing of satellite K band spectrum, pass bands and channel bandwidth compatibility and physical layer coexistence, present tension points between the NEWLEO entities and incumbent LEO and MEO and GSO operators, the link budget and long distance latency benefits of nearly always nearly overhead (NANO) connectivity when integrated with inter satellite switching, how this could help meet specific 5G vertical market throughput and latency requirements, satellite IOT, present and future technical and commercial trends and standards issues and related 5G and satellite regulatory challenges and opportunities, longer term V and W band co sharing opportunities.
  • IEEE Future Networks: 5G: More Capability. More Complexity

    01:02:29
    8 views
    5G is a new communications standard to serve both new and existing markets. As such, 5G comes with high expectations from both mobile operators and consumers. The existing market of mobile phones is no exception. 5G marketing hype is high and pressure to deliver on the billions of dollars spent on 5G spectrum is even higher. Realizing a successful 5G handset deployment comes with significant challenges. We are seeing an unprecedented impact on RF architectures, components, and technologies. Our aim is to first outline some of the complexities derived from the latest 3GPP 5G communications standards. Then, by analyzing macro level handset RF architectures as well as front end module functional blocks, we will describe the resulting RF impacts.
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  • IEEE Digital Reality: Knowledge-as-a-Service and the Cognitive Digital Twin

    01:02:44
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    This webinar will introduce the concept of Knowledge-as-a-Service (KaaS). Indeed, KaaS is a computing service that delivers knowledge to users, as opposed to data or information. KaaS enables technologists and engineers to make knowledge live and evolving on the web by allowing users to learn directly from elaborated knowledge, for example, in the form of knowledge graphs.

    By merging KaaS with Artificial Intelligence, it is then possible to define the concept of a Cognitive Digital Twin. A complete cognitive digital twin will act similarly to AI that can make its own decisions, process thoughts, and execute actions, just like a real, functioning organism.

    This webinar will describe potential scenarios for the utilization of the Cognitive Digital Twin and introduce current activities within IEEE in this area.

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  • IEEE SDN: SDN and Security Module 2 - SDN Security Use Cases

    00:37:34
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    The sequel to IEEE Software Defined Networks’ eLearning Module “An Introduction to Software Defined Network Security,” this second module covers “SDN Security Use Cases.” The presentation highlights some key uses cases in a vast landscape of network security uses cases found in research articles, and in talking to customers and SDN application developers.

  • IEEE Future Networks: 5G Technology Is Fantastic, But Can We Afford It?

    01:00:06
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    The 5G community has set out a beguiling vision of a communications network that is faster, higher capacity, lower latency and able to manage a wide diversity of traffic. But achieving this will require massive investment in small cells, backhaul, new core networks, mobile edge computing and much more. This comes at a time when mobile operators are mostly seeing revenue fall and profitability reduce and are cutting back on investment as a result. 5G proponents are looking to enterprise for new revenue streams, but is this feasible and are there alternatives such as dense Wi-Fi and standalone IoT solutions that could deliver more cost-effectively? This webinar will look at the economics behind 5G and show that there are funding gaps to bridge in many areas.
  • IEEE Future Networks: Silicon Technologies for mmWave 5G Enhanced Mobile Broadband Radio Interface

    01:02:48
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    5G, the next generation cellular standard will cover different usage scenarios covering enhanced mobile broadband (EMBB), ultra-reliable, low latency communication (URLLC) and low power massive machine-to-machine communication (mMTC). Radio interface of mmWave 5G EMBB may have different hardware architecture options both for User Equipments (UE) and infrastructure (like small cell, wireless backhaul). Current talk will focus on key figures of merits for 5G mmWave radio, different hardware architecture and chip partitioning options and how different silicon technologies like partially and fully depleted SOI, Silicon-Germanium BiCMOS can address the requirements for different mmWave 5G radio architectures.
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  • IEEE Digital Reality: Autonomous Things and GPUs

    00:54:53
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    Software-defined, AI-enabled Autonomous Vehicles (AV) require Graphics Processing Units (GPUs) for developing and running AI and XR end-to-end. GPUs enable the technology to apply deep learning algorithms to complex sensor data in order to produce autonomous actions. In addition, GPUs are used for the creation of next-generation augmented reality (AR) interfaces, with information pertaining to points of interest, alerts, navigation, and co-pilot support for drivers.

    This webinar will provide an overview of the fundamental characteristics of GPUs required to support new functionalities, including architecture, design, and verification points of view. It will also describe how dependability and functional safety need to be considered in order to provide the required level of trust for GPU computing.

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  • IEEE SDN: Open Baton Module 1 - An Introduction to Network Function Virtualization

    00:51:38
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    The IEEE Software Defined Networks’ eLearning Module “An Introduction to Network Function Virtualization (NFV)“ covers the context and meaning of NFV and SDN, focusing on the management and orchestration of virtual network functions and their composition in complex network services. Moving from hardware-based appliances towards software-based artifacts requires a complete redesign of legacy network components. Virtualizing a Network Function using virtualization technologies can be easily achieved. This session provides an overview of the ETSI NFV architecture, focusing on the network services management and orchestration aspects, as well as virtualized resource management. Network Slicing in 5G, and Edge Computing, need to be analyzed for addressing requirements at the infrastructure level. An overview about Cloud-Native applications principles and microservices approaches will be given. Those principles are the basis for building highly reliable network services in each of those use cases. This first module will conclude with the benefits and challenges for Network Operators who are currently moving towards this paradigm.

  • IEEE Future Networks: Massive MIMO for 5G Below 6 GHz: Achieving Spectral Efficiency, Link Reliability, and Low-Power Operation

    01:03:38
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    5G, the next generation of wireless networks, needs to accommodate massive data traffic, large user numbers, high reliability, and yet provide great energy efficiency. When talking about 5G-enabling technologies, there is much fuss about millimeter wave communications, which is the ideal approach for delivering high data rates over short distances. However, the mmWave operation is inherently unreliable and unsuitable for wide-area coverage. To satisfy all the 5G requirements, we also need to make major improvements in the network operation at conventional cellular frequency bands, below 6 GHz. Massive MIMO is the name of multiantenna technologies that use access points with hundreds of antenna elements. Massive MIMO was conceived as the way to deliver very high spectral efficiency in bands below 6 GHz, using spatial multiplexing of tens of users per cell. In recent years, Massive MIMO has gone from being a mind-blowing theoretical concept to one of the most promising 5G-enabling technologies; several world records in spectral efficiency have been set by Massive MIMO testbeds. The use of arrays with many antennas creates the phenomenon of channel hardening, which means that the rapid fading variations that normally haunt wireless links are averaged out, leading to high link reliability. Furthermore, the array gain provided by the directive transmissions allow for reduced transmit powers, which is an enabler for low-power nodes. In this talk, I will explain the basics of Massive MIMO and the importance of implementing it in the right way in order to reap all the benefits that the technology can deliver. I will exemplify how to achieve high spectral efficiency, great link reliability, and low-power operation.
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  • IEEE Brain: Neurophotonic Systems: From Flexible Polymer Implants to in situ Ultrasonically-driven Light Guides

    00:58:00
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    Understanding the neural basis of brain function and dysfunction may inform the design of effective therapeutic interventions for brain disorders and mental illnesses. Optical techniques have been recently developed for structural and functional imaging as well as targeted stimulation of neural circuits. One of the challenges of optical modality is light delivery deep into the brain tissue in a non-invasive or at least minimally invasive way. Scattering and absorption prevents deep penetration of light in tissue and limits light-based methods to superficial layers of the tissue. To overcome this challenge, implantable photonic waveguides such as optical fibers or graded-index (GRIN) lenses have been used to deliver light into the tissue or collect photons for imaging. Existing large and rigid optical waveguides cause damage to the brain tissue and vasculature. In this talk, Dr. Maysam Chamanzar will discuss his research on developing next generation optical neural interfaces. First, Dr. Chamanzar will introduce a novel compact flexible photonic platform based on biocompatible polymers, Parylene C and PDMS, and GaN active light sources for optogenetic stimulation of neural circuits with high spatiotemporal resolution. This photonic platform can be monolithically integrated with implantable neural probes. Then, Dr. Chamanzar will discuss his recent work on developing a novel complementary approach to guide and steer light in the brain using non-invasive ultrasound. Dr. Chamanzar will show that ultrasound waves can sculpt virtual graded-index (GRIN) waveguides in the tissue to define and steer the trajectory of light without physically implanting optical waveguides in the brain. These novel neurophotonic techniques enable high-throughput bi-directional interfacing with the brain to understand the neural basis of brain function and design next generation neural prostheses.
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  • IEEE Digital Reality: Knowledge in 2050

    00:59:28
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    During this free, virtual webinar, Roberto Saracco, IEEE Digital Reality co-chair, explained Personal Digital Twins. The concept of applying Digital Twins to model a person is already underway, but very few have attempted to model a whole person—the physical, emotional, cognitive, and behavioral aspects.

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