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

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

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  • IEEE SDN: OpenContrail Module 1 - Contrail: Cloud Network Automation

    00:30:20
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    This IEEE Software Defined Networks’ eLearning Module “Contrail: Cloud Network Automation” gives an overview of Contrail, a product of Juniper Networks, and is designed for network administrators, operators and developers. For example, network admins will learn how they can use Contrail, while developers can see how Contrail enables them to consume networks in an abstracted simple and orchestrated fashion. The module will start with looking at the trends and challenges that are prompting enterprises and service providers to implement Contrail; then, examine Contrail’s major features and look at how they fit in with those industry trends and customer challenges.

  • IEEE Future Networks: The Future of IoT

    01:02:20
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    As the Internet of Things moves closer and closer to mainstream, and the potential impact on our organizations becomes clearer, the challenges uncovered through numerous pilots and early production systems are becoming clear as well. In his presentation, Don will explore these challenges that often have less to do with technology, and more to do with people, organizations, architecture, and somewhat nuanced but no less critical considerations of security, privacy, and data ownership. The challenges in moving from early stages of the Internet of Things into mainstream production can demand a broad level of understanding and thoughtful leadership in order to truly leverage IoT's value in a resilient manner.
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  • IEEE Brain: Modeling the Representation of Object Boundary Contours in Human fMRI Data

    00:51:23
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    The human visual system consists of a hierarchy of areas, each of which represents different features of the visual world. Recent studies have revealed that most brain areas--and even many individual neurons--represent information about multiple visual features. Thus, a complete model of the brain must specify the relative importance of multiple visual features across the visual hierarchy. This talk will describe our work to estimate the importance of object boundary contours relative to other features. Boundary contours define the edges of figural objects in scenes, and figure/ground segmentation has long been held to be a critical process in human vision. However, the relative importance of boundary contours compared to both lower- and higher-level features (e.g. motion energy and visual categories) remains unknown. To address this issue, we measured fMRI responses while human subjects viewed two sets of movies that varied in many feature dimensions: rendered movies of artificial scenes and cinematic movies. We modeled responses to both sets of movies independently using the same three models: models of motion energy, object boundary contours, and visual categories. We used the encoding models to predict withheld fMRI data, and used variance partitioning to determine whether the various models explained unique or shared variance in each dataset. We found that the pattern of unique variance explained by the three models was qualitatively consistent across both datasets, with unique variance explained by boundary contours in Lateral Occipital cortex and other areas. However, the three models also shared substantially more variance in the cinematic movies, likely due to correlations between model features. For example, much of the motion energy in the cinematic movies was a result of people moving. The shared variance between all three models in the cinematic movies in particular highlights the need for complex stimulus sets in which features in different models are de-correlated from each other.
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  • Softwarization and the Disappearing Internet of Things

    01:00:13
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    In this webinar, Antonio Manzalini explains how "Softwarization" at the edge and the IoT will merge in a sort of virtual continuum of resources, a pervasive "fabric" spanning from users' terminals, devices, machines, smart things, to the network nodes, up to the cloud computing. This "fabric" will be so embedded into our daily life that it will "disappear".
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  • IEEE SDN: ONOS Module 4 - ONOS in Action / CORD and ONOS

    01:19:10
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    The IEEE Software Defined Networks’ (SDN) eLearning Module 4 builds on Module 3: ONOS SDN Controller which dived into its architecture and features. This module discusses one particular Open Source Controller– the Open Network Operating System or ONOS– in its role as SDN Controller in an SDN based Service Provider Network. The session attempts to answer: Why ONOS?

  • IEEE Future Networks: 5G and GDPR - Just Because You Can Capture Data Does Not Mean You Can Use It

    01:01:19
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    5G technologies will make it possible to interconnect with billions of devices and sensors globally, further fueling the growth of large scale dynamic decentralized/distributed data processing business models. These dynamic models will generate significant business opportunities as well as potential liabilities from failure to comply with centralized data protection requirements like those under the EU General Data Protection Regulation (GDPR). The GDPR, which goes into effect on 25 May 2018, includes fines as high as 4% of annual global gross revenues for data controllers and processors who fail to satisfy its requirements. Learn how new dynamic data protection requirements under the GDPR can help to resolve these conflicts and help to facilitate adoption of 5G capabilities.
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  • IEEE Brain: Multimodal Imaging in Understanding Brain Diseases

    00:50:30
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    The advances in neuroimaging in the last decades have bridged the translational gap, and enabled our understanding of brain under physiological and disease conditions. Multiscale and multimodal imaging such as positron emission tomography, magnetic resonance imaging, optoacoustic and fluorescence imaging have provide molecular, structural, and functional insights at cellular, circuit and whole brain levels. The use of maging biomarkers has also assisted the early and accurate diagnosis of brain disorders, and facilitated personalized medicine. This webinar will focus on the development of novel brain imaging techniques, as well as their application in the field of Alzheimer?s disease. Multimodal high-resolution imaging tools were developed for non-invasive visualization of the neuropathology (amyloid-beta and tauopathy), brain connectivity, and atrophy in mouse models of Alzheimer?s disease.
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  • IEEE Digital Reality: Digital Twins for Trustworthy Autonomy

    01:02:14
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    The next generation of run-time risk models will act as Digital Twins to anticipate threats and enable novel paradigms, like proactive dependability and collaborative security, as support to prognostics and preventive maintenance in Industry 4.0 and other Smart-X applications (e.g.,smart-houses, smart-cities, smart-transportation, etc.).

  • IEEE Future Networks: Small Cells and Their Role in Future 5G Networks

    00:52:22
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    In this tutorial, we review the 4G small cell use cases, technology concept, deployment aspects and lessons learnt in the field, paying special attention to inter-cell interference issues and other topics still TBD. Moreover, we discuss the technology evolution of small cells towards 5G, and introduce the concept of ultra-dense networks. We carefully explain how ultra-dense networks are different from those sparse or less dense ones in 4G, and depict their main benefits and challenges. Theoretical and system-level simulation based results are used to shed new light in all these concepts.
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  • IEEE Brain: A Large-scale Standardized Physiological Pipeline Reveals Functional Organization of the Mouse Visual Cortex

    01:06:05
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    An important open question in visual neuroscience is how visual information is represented in cortex. Important results characterized neural coding by assessing the responses to artificial stimuli, with the assumption that responses to gratings, for example, capture the key features of neural responses, and deviations, such as extra-classical effects, are relatively minor. The failure of these responses to have strong predictive power has renewed these questions. It has been suggested that this characterization of visual responses has been strongly influenced by the biases inherent in recording methods and the limited stimuli used in experiments. In creating the Allen Brain Observatory, we sought to reduce these biases by recording large populations of neurons in the mouse visual cortex using a broad array of stimuli, both artificial and natural. This open dataset is a large-scale, systematic survey of physiological activity in the awake mouse cortex recorded using 2-photon calcium imaging. Neural activity was recorded in cortical neurons of awake mice who were presented a variety of visual stimuli, including gratings, noise, natural images, and natural movies. This dataset consists of over 63,000 neurons recorded in over 1300 imaging sessions, surveying 6 cortical areas, 4 cortical layers, and 14 transgenically defined cell types (Cre lines). We found that visual responses throughout the mouse cortex are highly variable. Using the joint reliabilities of responses to multiple stimuli, we classify neurons into functional classes and validate this classification with models of visual responses. Only 10% of neurons in the mouse visual cortex show reliable responses to all of the stimuli used, and are reasonably well predicted by linear-nonlinear models. The remaining neurons fall into classes characterized by responses to specific subsets of the stimuli and the neurons in the largest class do not reliably responsive to any of the stimuli. These classes reveal a functional organization within the mouse visual cortex wherein putative dorsal areas show specialization for visual motion signals.
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  • IEEE Future Networks: 5G Spectrum Sharing: A Network Economics View

    01:01:19
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    Utilizing novel forms of spectrum is a key enabler for meeting the needs of 5G. Examples include shared spectrum as in the CBRS framework and and tighter integration of unlicensed and licensed spectrum. These approach will impact not only the technical performance of networks but the economic incentives of service providers as they make decisions about what technologies to deploy and how they compete. This talk will examine several of these issues and discuss network economic models that can be used to gain insight into them.
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  • IEEE Digital Reality: Artificial Intelligence for Business: Today and Tomorrow

    00:56:02
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    Just like every company is now a software company, every business will soon become an Artificial Intelligent (AI) business. In this talk, David Carmona, Microsoft’s General Manager for AI and Innovation, will discuss the key technological trends that will fuel that revolution, including massive AI models trained on super computers, autonomous systems that learn with humans, augmented intelligence, and responsible AI.

  • IEEE Future Networks: Leading the World to 5G and Its Expansion to New Industries

    01:03:36
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    5G is a unifying connectivity fabric that will connect virtually everything around us, expanding the reach of mobile to new services, applications, deployments, and spectrum types. Today, we are preparing for the first commercial launches of 5G NR, which is based on Release 15 of the 3GPP global standard, and it will usher in many new and enhanced mobile experiences starting in 2019. In parallel, we are also evolving 5G NR to expand into new industries, such as automotive and industrial IoT. Join this webinar to: 1. See where we are on the path to make 5G NR a commercial reality, 2. Understand what is at the foundation of 5G NR Release 15 for enabling new and improved applications, 3. Learn what's coming in Release 16 and beyond that will expand 5G into new industries
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  • IEEE Digital Reality: Digital Twins

    00:58:08
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    Digital Twins are becoming the bridge, the orchestrators in between the cyber and the physical space and technologies like AR/VR/MR are at the same time the tools letting us enter the cyberspace and the manifestation of the cyberspace itself. This webinar will start with an introduction to Digital Twins, how the concept has evolved in the last 15 years, and how they are now applied in manufacturing, their current market value, and the main players in this area. Then, the talk will shift to the future, how Digital Twins are evolving right now, how they are becoming an important tool in areas as diverse as Healthcare, Finance, Education, etc. In this evolution, the Digital Reality Initiative is playing a significant role, and this webinar will address the current activities where all of you can be involved.
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  • IEEE Digital Reality: AI Systematic Errors - Who Is Responsible

    00:54:32
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    In contrast to humans, all decisions made by algorithms are systematic and based on user data, sensors, and algorithms. The question is, who is responsible for errors: the provider, the integrator, or the end-user? In most scenarios, responsibility is distributed amongst all stakeholders. Full autonomic systems (including self-driving technology) are not accepted by lawmakers, and a human supervisor is demanded as a backup.

  • IEEE Future Networks: Mitigating Thermal and Power Limitations to Enable 5G

    01:02:07
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    3GPP has defined 5G-NR with a modulation that inherently reduces energy efficiency of linear transmitters. This causes thermal problems from the dissipated power, which is a particular difficulty for massive-MIMO arrays. Temperature rise from transmitter power dissipation limits the array size that can be safely built. Achieving the multiple business objectives for 5G installations requires solving this problem, and using Sampling technologies is showing great promise to meeting this goal. This presentation presents the physical basis of this thermal problem, and shows how the sampling operation of the switch-mode mixer modulator (SM3) solves not only the thermal problem but also how, using the SM3, signal bandwidth efficiency is increased to 14 bits per symbol (16,384-QAM) with modulation within 0.5% of ideal.
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  • IEEE Brain: Optimizing Control and Learning in Neural Interfaces

    01:06:03
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    Direct interfaces with the brain provide exciting new ways to restore and repair neurological function. For instance, motor Brain-Machine Interfaces (BMIs) can bypass a paralyzed person's injury by repurposing intact portions of their brain to control movements. Recent work shows that BMIs do not simply "decode" subjects' intentions - they create new systems subjects learn to control. To improve BMI performance and usability, we must therefore understand how to optimize learning and control in these systems. I will present a survey of recent work and new directions exploring how the design of BMI systems influence BMI performance. I'll touch on the importance of control loop design, brain-decoder interactions and multi-learner approaches, and network-informed neural signal selection. These examples highlight the role of learning and closed-loop in BMIs, and demonstrate the promise of engineering approaches based on optimizing learning and control along with information "decoding."
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  • IEEE Future Networks: 5G - A Door Opener to 6G?

    01:01:46
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    As we see 5G unfold, expectations on the economic and societal impact are very high. Many new opportunities shall emerge for new business opportunities, with new vertical entering the market to embrace cellular technology to advance to a new stage of innovation. The most popularly discussed vertical being the mobility sector and manufacturing (industry 4.0). However, maybe agriculture and construction are closer to see an impact? We shall review economic opportunities, and their derive some basic technical requirements. Analyzing this and mapping it onto the verticals can give us some interesting insights. It also helps build an understanding of detecting missing pieces. 1G was a great step towards ubiquitous voice telephony, but 2G fixed the problems (like international roaming). 3G was a great step towards ubiquitous cellular data, but we needed 4G to fix the challenges. 5G will be an infliction point in bringing cellular to new applications. However, do we again use the 5G generation to understand what is really needed and have to wait for 6G as a fix?
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  • INC 2020 / IRDS - Day 1

    07:26:11
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    This is Day 1 of the 2020 IEEE International Nanodevices & Computing (INC) Conference. The event was held virtually on Wednesday, 2 September 2020. The 2020 IRDS™ roadmap was presented, new upcoming chapters of 2021 IRDS™ on More than Moore and Packaging Integration were introduced for the first time, and overall plans for the 2021 IRDS™ were outlined. Highlights of actual industry responses to the 2020 IRDS™ and actual trends were also presented.

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  • IEEE Digital Reality: Digital Twins: Ethical and Societal Impacts

    00:59:54
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    Digital Twins are becoming increasingly pervasive in the industry, and they are now being used to generate digital replicas to mirror individual human beings, their unique behaviors, their expertise, and even their emotions. This brings us into an unchartered territory where new ethical questions arise.

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  • IEEE Future Networks: mmWaves in 5G NR Cellular Networks: A System Level Perspective

    01:00:03
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    Communication at mmWave frequencies will play a key role in next generation 5G cellular networks. However, mobile scenarios are the most challenging for mmWave cellular systems, due to the high propagation loss, the relatively small coverage area of individual cells, and rapid channel dynamics caused by blockage events. In this talk, Michele Polese will describe some MAC and network level solutions that can provide a consistent and reliable user experience in mmWave mobile networks. The first part of the talk will focus on beam management and multi connectivity for 3GPP NR. Then, deployment issues will be discussed, with the recent 3GPP Study Item on Integrated Access and Backhaul in the spotlight. Finally, the last part will present a selection of results on the performance of TCP on mmWave links, and of possible algorithms and architectures to improve the end-to-end performance in these networks.
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  • INC 2020 / IRDS - Day 2

    07:14:01
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    This is Day 2 of the 2020 IEEE International Nanodevices & Computing (INC) Conference. The event was held virtually on Thursday, 3 September 2020. State-of-the-art experimental results and more were presented by an international group of invited experts covering Computer Architecture & Communication Systems and Nanodevices & Materials.

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  • IEEE Digital Reality: AI Biases and Inclusion

    00:59:12
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    Image analysis algorithms have become indispensable in the modern information ecosystem. Beyond their early use in restricted domains (e.g., military, medical), they are now widely used in consumer applications and social media, enabling functionality that users take for granted.

  • IEEE Future Networks: Networked Electricity

    01:01:08
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    Internet technology and cellular communications technology have transformed many aspects of how we communicate, and caused us to consider and do things in ways not previously possible or for many even imaginable. 5G and other technology will take us further down this path. Every device that communicates by definition consumes electricity. As we advance communications technologies with new concepts and capabilities, it makes sense to do the same for electricity. Local Power Distribution (LPD) is a "network model of power", organized from the bottom-up into nanogrids that can be networked to each other, local generation, and a utility grid. A nanogrid controller contains a battery and provides power to attached end-use devices. The controller establishes a local price that influences device operation, management of internal storage, and exchanges of power with other controllers, sources, and the grid. All power connections are digitally managed and plug-and-play. LPD is intended for all application contexts, whether a utility grid is present always, never, or intermittently. Future communications devices will exist in a variety of power contexts, from those that are stand-alone but grid-connected, stand-alone without a grid connection, or internal to a building with power available from that building. Many of these may be connected to local renewable generation, and for reliability and other purposes, all will include at least some amount of energy storage. In some countries, grid power is routinely unreliable. A generic technology solution which allows for base stations to automatically adapt to any changing power contexts can reduce costs, increase efficiencies, improve performance, and enable more use of renewables and storage. It can also enable more graceful system degradation when power is in short supply. As with Internet technology, we not only want new electrical technology to operate in different ways internally, we want users to think about electricity differently with new capabilities.
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  • IEEE Digital Reality: Smart Technologies in Enhancing Browsing Experiences

    01:01:58
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    Information search is an activity that involves various techniques and methods for finding new insights. Physical and digital spaces as different contexts provide unique advantages for search activities: the physical environment provides spatial layout and interaction with tangible objects, while online information applications support browsing and knowledge discovery.

    This talk focuses on systems that aim (or could be used) to bridge the gap between physical and digital arenas, using digital data associated with physically situated objects, and transforming and visualizing this data in relation to a given context. Using portable devices or digital realities headsets, applications generate the object-related data visualizations for further exploration. With such systems and its interplay between real and digital realms, new avenues could be opened for creating in-situ immersive visual experiences.

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  • IEEE SDN: ONOS Module 1 - An Introduction to Software Defined Networking (SDN)

    00:58:44
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    The IEEE Software Defined Networks’ eLearning Module “An Introduction to Software Defined Networking (SDN)” is the 101 module in this series and covers some basic technologies and concepts to provide the foundation for the upcoming modules. By the end of SDN 101, participants will have: Taken a look at networking past, and discovered that it lives on in the future; An understanding of the evolution of SDN and how it fits onto the networking landscape; An understanding of the basic architectures of SDN. We will put the pieces and layers together. This is to lay the groundwork for the next module: SDN 102. Finally, a brief look at the Open Source communities’ invaluable contribution to SDN and how this drives innovation, disruption and sometimes chaos.

  • 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
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    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
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    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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