Manufacturers seeking better operational efficiencies, with reduced downtime and higher yield, are at the leading edge of the Industry 4.0 transformation. With mobile system components and reliable wireless connectivity between them, flexible manufacturing systems can be reconfigured quickly for new tasks, to troubleshoot issues, or in response to shifts in supply and demand.
There is a long history of R&D collaboration between Bosch Rexroth and Qualcomm Technologies for the effective application of these 5G capabilities to industrial automation use cases. At the Robert Bosch Elektronik GmbH factory in Salzgitter, Germany, this collaboration has reached new heights.
Download this deck to learn how:
• Qualcomm Technologies and Bosch Rexroth are collaborating to accelerate the Industry 4.0 transformation
• 5G technologies deliver key capabilities for mission-critical industrial automation
• Distributed control solutions can work effectively across 5G TSN networks
• A single 5G technology platform solves connectivity and positioning needs for flexible manufacturing
The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
How does unlicensed spectrum with NR-U transform what 5G can do for you?Qualcomm Research
NR-U brings the power of 5G to unlicensed spectrum globally. NR-U can help service providers deliver the 5G experience end-users have come to expect with or without licensed spectrum. Read more at https://www.qualcomm.com/news/onq/2020/06/11/how-does-support-unlicensed-spectrum-nr-u-transform-what-5g-can-do-you
The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
How does unlicensed spectrum with NR-U transform what 5G can do for you?Qualcomm Research
NR-U brings the power of 5G to unlicensed spectrum globally. NR-U can help service providers deliver the 5G experience end-users have come to expect with or without licensed spectrum. Read more at https://www.qualcomm.com/news/onq/2020/06/11/how-does-support-unlicensed-spectrum-nr-u-transform-what-5g-can-do-you
5G will transform the IoT, expanding the reach of 5G and mobile technologies beyond smartphones. This presentation talks about how 5G is opening doors to new use cases, what is in the 5G evolution that will address the expanding IoT needs, and what Qualcomm is doing to deliver end-to-end technologies and solutions.
Presentations given at the
Workshop 6: European and Taiwanese Cooperation on 5G
Wednesday, 19 June 2019, at EUCNC 2019 in Valencia, Spain.
All presentations atre available.
The essential role of Gigabit LTE and LTE Advanced Pro in the 5G WorldQualcomm Research
As the next phase in the evolution of LTE (3GPP Release 13 and beyond), LTE Advanced Pro does more than just push LTE capabilities closer towards 5G. It will also become an integral part of the 5G mobile network, providing many services essential to the 5G experience starting day one. Learn more at: https://www.qualcomm.com/invention/technologies/lte/advanced-pro
Juha Oravainen, Nokia, Tapio Tallgren, Nokia
In the future factory robots will communicate wirelessly and cars on the highways will exchange the information with each other. This requires extremely low latency mobile networks, known as 5G. This network will run on telco grade cloud platforms of which OPNFV is one example.
The first cloud radio access networks have already been deployed to operators. More is needed with future technologies/networks as more functionalities will be moved to the cloud. This talk tells what is needed to overcome low latency and high availability challenges with cloud platforms. At Nokia we are continuously evaluating the latest OPNFV SW on Nokia HW with radio VNFs to guarantee interoperability with open source components.
Currently, there is a hype around 5G, the wireless technology which is meant to deliver higher multi-Gbps peak data speeds, more reliability, massive network capacity, and increased availability, in order to empower new experiences and connect new industries. Indeed 5G, and related technology, open up an industrial Internet with the potential to deliver new digital services for long-term economic growth.
The following document is written as a summary of essentials around 5G based on already published materials. It aims at helping non-specialists to get an initial idea of the new exciting technologies and their potential impact on our future.
5G is designed to serve an unprecedented range of capabilities with a single global standard. With enhanced mobile broadband (eMBB), massive IoT (mIoT), and mission-critical IoT, the three pillars of 5G represent extremes in performance and associated complexity. For IoT services, NB-IoT and eMTC devices prioritize low power consumption and the lowest complexity for wide-area deployments (LPWA), while enhanced ultra-reliable, low-latency communication (eURLLC), along with time-sensitive networking (TSN), delivers the most stringent use case requirements. But there exists an opportunity to more efficiently address a broad range of mid-tier applications with capabilities ranging between these extremes.
In 5G NR Release 17, 3GPP introduced a new tier of reduced capability (RedCap) devices, also known as NR-Light. It is a new device platform that bridges the capability and complexity gap between the extremes in 5G today with an optimized design for mid-tier use cases. With the recent standards completion, NR-Light is set to efficiently expand the 5G universe to connect new frontiers.
Download this presentation to learn:
• What NR-Light is and why it can herald the next wave of 5G expansion
• How NR-Light is accelerating the growth of the connected intelligent edge
• Why NR-Light is a suitable 5G migration path for mid-tier LTE devices
How will sidelink bring a new level of 5G versatility.pdfQualcomm Research
Today, the 5G system mainly operates on a network-to-device communication model, exemplified by enhanced mobile broadband use cases where all data transmissions are between the network (i.e., base station) and devices (e.g., smartphone). However, to fully deliver on the original 5G vision of supporting diverse devices, services, and deployment scenarios, we need to expand the 5G topology further to reach new levels of performance and efficiency.
That is why sidelink communication was introduced in 3GPP standards, designed to facilitate direct communication between devices, independent of connectivity via the cellular infrastructure. Beyond automotive communication, it also benefits many other 5G use cases such as IoT, mobile broadband, and public safety.
Accelerating our 5G future: a first look at 3GPP Rel-17 and beyondQualcomm Research
In December 2019, the scope of 3GPP Release 17 was decided in the Plenary meeting in Spain. This presentation outlines the details of this 3rd release of 5G standards.
Edge / Far Edge: Convergent Access & Transport InfrastructureDmitry Timerkhanov
Evolution of networks and services creates demand for highly distributed architecture. Number of parameters has to be met for the architecture to work at physical, logical and application levels. Proper convergence of transport and access domains within all currently available technologies is key for business case success on that path.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
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5G will transform the IoT, expanding the reach of 5G and mobile technologies beyond smartphones. This presentation talks about how 5G is opening doors to new use cases, what is in the 5G evolution that will address the expanding IoT needs, and what Qualcomm is doing to deliver end-to-end technologies and solutions.
Presentations given at the
Workshop 6: European and Taiwanese Cooperation on 5G
Wednesday, 19 June 2019, at EUCNC 2019 in Valencia, Spain.
All presentations atre available.
The essential role of Gigabit LTE and LTE Advanced Pro in the 5G WorldQualcomm Research
As the next phase in the evolution of LTE (3GPP Release 13 and beyond), LTE Advanced Pro does more than just push LTE capabilities closer towards 5G. It will also become an integral part of the 5G mobile network, providing many services essential to the 5G experience starting day one. Learn more at: https://www.qualcomm.com/invention/technologies/lte/advanced-pro
Juha Oravainen, Nokia, Tapio Tallgren, Nokia
In the future factory robots will communicate wirelessly and cars on the highways will exchange the information with each other. This requires extremely low latency mobile networks, known as 5G. This network will run on telco grade cloud platforms of which OPNFV is one example.
The first cloud radio access networks have already been deployed to operators. More is needed with future technologies/networks as more functionalities will be moved to the cloud. This talk tells what is needed to overcome low latency and high availability challenges with cloud platforms. At Nokia we are continuously evaluating the latest OPNFV SW on Nokia HW with radio VNFs to guarantee interoperability with open source components.
Currently, there is a hype around 5G, the wireless technology which is meant to deliver higher multi-Gbps peak data speeds, more reliability, massive network capacity, and increased availability, in order to empower new experiences and connect new industries. Indeed 5G, and related technology, open up an industrial Internet with the potential to deliver new digital services for long-term economic growth.
The following document is written as a summary of essentials around 5G based on already published materials. It aims at helping non-specialists to get an initial idea of the new exciting technologies and their potential impact on our future.
5G is designed to serve an unprecedented range of capabilities with a single global standard. With enhanced mobile broadband (eMBB), massive IoT (mIoT), and mission-critical IoT, the three pillars of 5G represent extremes in performance and associated complexity. For IoT services, NB-IoT and eMTC devices prioritize low power consumption and the lowest complexity for wide-area deployments (LPWA), while enhanced ultra-reliable, low-latency communication (eURLLC), along with time-sensitive networking (TSN), delivers the most stringent use case requirements. But there exists an opportunity to more efficiently address a broad range of mid-tier applications with capabilities ranging between these extremes.
In 5G NR Release 17, 3GPP introduced a new tier of reduced capability (RedCap) devices, also known as NR-Light. It is a new device platform that bridges the capability and complexity gap between the extremes in 5G today with an optimized design for mid-tier use cases. With the recent standards completion, NR-Light is set to efficiently expand the 5G universe to connect new frontiers.
Download this presentation to learn:
• What NR-Light is and why it can herald the next wave of 5G expansion
• How NR-Light is accelerating the growth of the connected intelligent edge
• Why NR-Light is a suitable 5G migration path for mid-tier LTE devices
How will sidelink bring a new level of 5G versatility.pdfQualcomm Research
Today, the 5G system mainly operates on a network-to-device communication model, exemplified by enhanced mobile broadband use cases where all data transmissions are between the network (i.e., base station) and devices (e.g., smartphone). However, to fully deliver on the original 5G vision of supporting diverse devices, services, and deployment scenarios, we need to expand the 5G topology further to reach new levels of performance and efficiency.
That is why sidelink communication was introduced in 3GPP standards, designed to facilitate direct communication between devices, independent of connectivity via the cellular infrastructure. Beyond automotive communication, it also benefits many other 5G use cases such as IoT, mobile broadband, and public safety.
Accelerating our 5G future: a first look at 3GPP Rel-17 and beyondQualcomm Research
In December 2019, the scope of 3GPP Release 17 was decided in the Plenary meeting in Spain. This presentation outlines the details of this 3rd release of 5G standards.
Edge / Far Edge: Convergent Access & Transport InfrastructureDmitry Timerkhanov
Evolution of networks and services creates demand for highly distributed architecture. Number of parameters has to be met for the architecture to work at physical, logical and application levels. Proper convergence of transport and access domains within all currently available technologies is key for business case success on that path.
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Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AIQualcomm Research
How do you find the best solution when faced with many choices? Combinatorial optimization is a field of mathematics that seeks to find the most optimal solutions for complex problems involving multiple variables. There are numerous business verticals that can benefit from combinatorial optimization, whether transport, supply chain, or the mobile industry.
More recently, we’ve seen gains from AI for combinatorial optimization, leading to scalability of the method, as well as significant reductions in cost. This method replaces the manual tuning of traditional heuristic approaches with an AI agent that provides a fast metric estimation.
In this presentation you will find out:
Why AI is crucial in combinatorial optimization
How it can be applied to two use cases: improving chip design and hardware-specific compilers
The state-of-the-art results achieved by Qualcomm AI Research
- There is a rich roadmap of 5G technologies coming in the second half of the 5G decade with the 5G Advanced evolution
- 6G will be the future innovation platform for 2030 and beyond building on the 5G Advanced foundation
- 6G will be more than just a new radio design, expanding the role of AI, sensing and others in the connected intelligent edge
- Qualcomm is leading cutting-edge wireless research across six key technology vectors on the path to 6G
3D perception is crucial for understanding the real world. It offers many benefits and new capabilities over 2D across diverse applications, from XR and autonomous driving to IOT, camera, and mobile. 3D perception with machine learning is creating the new state of the art (SOTA) in areas, such as depth estimation, object detection, and neural scene representation. Making these SOTA neural networks feasible for real-world deployment on mobile devices constrained by power, thermal, and performance has been a challenge. Qualcomm AI Research has developed not only novel AI techniques for 3D perception but also full-stack AI optimizations to enable real-world deployments and energy-efficient solutions. This presentation explores the latest research that is enabling efficient 3D perception while maintaining neural network model accuracy. You’ll learn about:
- The advantages of 3D perception over 2D and the need for 3D perception across applications
- Advancements in 3D perception research by Qualcomm AI Research
- Our future 3D perception research directions
5G is going mainstream across the globe, and this is an exciting time to harness the low latency and high capacity of 5G to enable the metaverse. A distributed-compute architecture across device and cloud can enable rich extended reality (XR) user experiences. Virtual reality (VR) and mixed reality (MR) are ready for deployment in private networks, while augmented reality (AR) for wide area networks can be enabled in the near term with Wi-Fi powered AR glasses paired with a 5G-enabled phone. Device APIs enabling application adaptation is critical for good user experience. 5G standards are evolving to support the deployment of AR glasses at a large scale and setting the stage for 6G-era with the merging of the physical, digital, and virtual worlds. Techniques like perception-enhanced wireless offer significant potential to improve user experience. Qualcomm Technologies is enabling the XR industry with platforms, developer SDKs, and reference designs.
Check out this webinar to learn:
• How 5G and distributed-compute architectures enable the metaverse
• The latest results from our boundless XR 5G/6G testbed, including device APIs and perception-enhanced wireless
• 5G standards evolution for enhancing XR applications and the road to 6G
• How Qualcomm Technologies is enabling the industry with platforms, SDKs, and reference designs
AI model efficiency is crucial for making AI ubiquitous, leading to smarter devices and enhanced lives. Besides the performance benefit, quantized neural networks also increase power efficiency for two reasons: reduced memory access costs and increased compute efficiency.
The quantization work done by the Qualcomm AI Research team is crucial in implementing machine learning algorithms on low-power edge devices. In network quantization, we focus on both pushing the state-of-the-art (SOTA) in compression and making quantized inference as easy to access as possible. For example, our SOTA work on oscillations in quantization-aware training that push the boundaries of what is possible with INT4 quantization. Furthermore, for ease of deployment, the integer formats such as INT16 and INT8 give comparable performance to floating point, i.e., FP16 and FP8, but have significantly better performance-per-watt performance. Researchers and developers can make use of this quantization research to successfully optimize and deploy their models across devices with open-sourced tools like AI Model Efficiency Toolkit (AIMET).
Presenters: Tijmen Blankevoort and Chirag Patel
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AI for wireless is already here, with applications in areas such as mobility management, sensing and localization, smart signaling and interference management. Recently, Qualcomm Technologies has prototyped the AI-enabled air interface and launched the Qualcomm 5G AI Suite. These developments are possible thanks to expertise in both wireless and machine learning from over a decade of foundational research in these complementing fields.
Our approach brings together the modeling flexibility and computational efficiency of machine learning and the out-of-domain generalization and interpretability of wireless domain expertise.
In this webinar, Qualcomm AI Research presents an overview of state-of-the-art research at the intersection of the two fields and offers a glimpse into the future of the wireless industry.
Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.
Speakers:
Arash Behboodi, Machine Learning Research Scientist (Senior Staff Engineer/Manager), Qualcomm AI Research Daniel Dijkman, Machine Learning Research Scientist (Principal Engineer), Qualcomm AI Research
3GPP Release 17: Completing the first phase of 5G evolutionQualcomm Research
This presentation summarizes 5G NR Release 17 projects that was completed in March 2022. It further enhances 5G foundation and expands into new devices, use cases, verticals.
AI firsts: Leading from research to proof-of-conceptQualcomm Research
AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers:
The challenges of deploying cutting-edge research on real-world mobile devices
How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
Examples where Qualcomm AI Research has had industrial or academic firsts
Setting off the 5G Advanced evolution with 3GPP Release 18Qualcomm Research
In December 2021, 3GPP has reached a consensus on the scope of 5G NR Release 18. This is a significant milestone marking the beginning of 5G Advanced — the second wave of wireless innovations that will fulfill the 5G vision. Release 18 will build on the solid foundation set by Releases 15, 16, and 17, and it sets the longer-term evolution direction of 5G and beyond. This release will encompass a wide range of new and enhancement projects, ranging from improved MIMO and application of AI/ML-enabled air interface to extended reality optimizations and broader IoT support.
Cellular networks have facilitated positioning in addition to voice or data communications from the beginning, since 2G, and we’ve since grown to rely on positioning technology to make our lives safer, simpler, more productive, and even fun. Cellular positioning complements other technologies to operate indoors and outdoors, including dense urban environments where tall buildings interfere with satellite positioning. It works whether we’re standing still, walking, or in a moving vehicle. With 5G, cellular positioning breaks new ground to bring robust precise positioning indoors and outdoors, to meet even the most demanding Industry 4.0 needs.
As we look to the future, the Connected Intelligent Edge will bring a new dimension of positional insight to a broad range of devices, improving wireless use cases still under development. We’re already charting the course to 5G Advanced and beyond by working on the evolution of cellular positioning technology to include RF sensing for situational awareness.
Download the deck to learn more.
The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are producing more and more data that could help improve our AI experiences. How do we learn and efficiently process all this data from edge devices while maintaining privacy? On-device learning rather than cloud training can address these challenges. In this presentation, we’ll discuss:
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- Our latest research in on-device learning, including few-shot learning, continuous learning, and federated learning
- How we are solving system and feasibility challenges to move from research to commercialization
This presentation outlines the synergistic nature of 5G and AI -- two disruptive areas of innovations that can change the world. It illustrates the benefits of adopting AI for the advancements of 5G, as well as showcases the latest progress made by Qualcomm Technologies, Inc.
Data compression has increased by leaps and bounds over the years due to technical innovation, enabling the proliferation of streamed digital multimedia and voice over IP. For example, a regular cadence of technical advancement in video codecs has led to massive reduction in file size – in fact, up to a 1000x reduction in file size when comparing a raw video file to a VVC encoded file. However, with the rise of machine learning techniques and diverse data types to compress, AI may be a compelling tool for next-generation compression, offering a variety of benefits over traditional techniques. In this presentation we discuss:
- Why the demand for improved data compression is growing
- Why AI is a compelling tool for compression in general
- Qualcomm AI Research’s latest AI voice and video codec research
- Our future AI codec research work and challenges
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within tight power and thermal budgets. Advancements in multiple areas are necessary to improve AI model efficiency, including quantization, compression, compilation, and neural architecture search (NAS). In this presentation, we’ll discuss:
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- Our new NAS research to optimize neural networks more easily for on-device efficiency
- How the AI community can take advantage of this research though our open-source projects, such as the AI Model Efficiency Toolkit (AIMET) and AIMET Model Zoo
How to build high performance 5G networks with vRAN and O-RANQualcomm Research
5G networks are poised to deliver an unprecedented amount of data from a richer set of use cases than we have ever seen. This makes efficient networking in terms of scalability, cost, and power critical for the sustainable growth of 5G. Cloud technologies such as virtualization, containerization and orchestration are now powering a surge of innovation in virtualized radio access network (vRAN) infrastructure with modular hardware and software components, and standardized interfaces. While commercial off-the-shelf (COTS) hardware platforms provide the compute capacity for running vRAN software, hardware accelerators will also play a major role in offloading real-time and complex signal processing functions. Together, COTS platforms and hardware accelerators provide the foundation for building the intelligent 5G network and facilitate innovative new use cases with the intelligent wireless edge.
This presentation takes a look at the technology roadmap for 5G NR millimeter wave (mmWave). Including features such as integrated access and backhaul (IAB), enhancements in beam management, mobility, coverage, and more. For more information, please visit www.qualcomm.com/mmwave
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
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👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
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And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
2. 2
2
210+
Operators with
5G commercially
deployed
Accelerating Globally
275+
Additional
operators
investing in 5G
750M+
5G smartphones
to ship in 2022
1B+
5G connections
by 2023 — 2 years
faster than 4G
5B+
5G smartphones
to ship between
2020 and 2025
1,330+
5G designs
launched or in
development
2
Sources — 5G commercial networks, operators investing in 5G: GSA, May ‘22. 5G device shipment projections: Qualcomm estimates, Feb ‘22. 2023 5G connection projections: average of ABI (Sep ‘21), Ericsson (Jun ‘21) and
GSMA Intelligence (Sep ‘21). 5G cumulative smartphone shipments: average of CCS Insight (Sept ‘21), Counterpoint Research (Dec ’21), IDC (Nov ‘21), Strategy Analytics (Oct ‘21); Launched / announced devices: GSA, May ’22.
3. 3
2018 2020
2019 2022
2021 2025
2023 2024 2026 2027+
2nd wave of 5G innovations
Rel-16 industry expansion Rel-17 continued expansion
Rel-15 eMBB focus Rel-18+ 5G-Advanced
• Unlicensed spectrum (NR-U)
• IIoT with enhanced URLLC
• Integrated access/backhaul
• Sidelink (NR V2X),
positioning
• Lower complexity NR-Light (RedCap)
• mmWave extension to 71GHz
• Non-terrestrial communication (satellites):
• Improved IIoT, positioning, V2X
• Enhanced IAB, RF repeaters
• 5G NR foundation
• Sub-7 and mmWave
• Scalable & forward compatible
• Basic URLLC support
• mMTC via eMTC & NB-IoT
• NR-Light evolution
• Full duplex
• Wireless AI/ML
• Boundless XR
• Green networks
• Private network
• 5G broadcast
• eMTC/NB-IoT w/ 5G core
• Enhanced MIMO, device
power, CA/DC, mobility
1. 3GPP start date indicates approval of study package (study item->work item->specifications), previous release continues beyond start of next release with functional freezes and ASN.1
Driving 5G Advanced for a full decade of 5G technology evolution
New verticals,
deployments,
use cases, spectrum
Longer-term evolution to
deliver on the 5G vision
Unified, future-proof platform
Rel-15
Rel-171
Rel-161
Rel-191
Rel-20+ evolution
Rel-181
4. 4
4
>$3.5B
global private LTE/5G market size by 2026 1
5G private networks
will expand the market
Wide range of industries from
manufacturing and seaports
to venues and enterprise
18% CAGR
1. Mobile Experts, “Private LTE/5G 2021” (Feb. 2021)
Container ports Oil refineries
Manufacturing Hospitality
Mines Warehouse
Airports Hospitals
5. 5
Enhanced
mobile broadband Massive IoT
Ultra reliable
low latency
Co-operative driving
Latency 20ms
Availability 99.9999%
Rate: Mbps
Automated guided vehicle (AGV)
Wireless edge analytics
Security camera
Latency 50ms
Availability 99.9%
Rate: Mbps
Computer Vision
Safety functions
Latency: 10 ms
Availability: 99.9999%
Rate: Mbps-kbps
Handheld terminal
Process Monitoring
Latency: 100 ms
Availability: 99.99%
Rate: kbps
Sensors
Motion control
Latency: 1 ms
Availability: 99.9999%
Rate: Mbps-kbps
Industrial robot
Augmented Reality
Latency: 10 ms
Availability: 99.9%
Rate: Gbps-Mbps
Head mounted display
6. 6
https://www.5g-acia.org/
5G private
networks
poised
for growth
Growing momentum with early
commercial deployments
A vibrant, global ecosystem led
by 5G-ACIA, ready to scale
Comprehensive support for 5G
private networks in 3GPP Rel-16
ASE
18 Aug. 2020
https://ase.aseglobal.com/en/press_room/content/5g_smart_factory_en
Ban Chang Smart City
23 May 2021
https://www.convergedigest.com/2021/05/thailands-ban-chang-smart-city-deploys.html
5G-Alliance for Connected Industries and Automation (5G-ACIA)
Ensure the best possible applicability of 5G technology for connected industries, in particular the
manufacturing and process industries
Manufacturing and
process operators
Collaboration with
global industry bodies
Technology
providers
Network
operators
Spectrum
advocacy
Lawrence J. Ellison Institute
12 May 2021
https://www.techrepublic.com/article/usc-cancer-research-center-plans-private-5g-network/
Ford
26 Oct. 2021
https://www.rcrwireless.com/20211026/5g/att-brings-private-5g-network-mec-to-fords-new-
electric-vehicle-factory
Cologne Bonn Airport
25 May 2021
https://www.cologne-bonn-airport.com/en/press/press-releases/5g-network-for-
colognebonn.html
Agnico Eagle Finland
15 Mar. 2021
https://agnicoeagle.fi/telia-to-build-a-private-5g-network-for-the-kittila-mine/
https://dailynewshungary.com/europes-first-5g-railway-terminal-is-being-built-in-hungary/
East-West Gate (EWG) terminal
2 Oct. 2021
Ferrovial
6 Oct. 2021
https://newsroom.ferrovial.com/en/news/ferrovial-5g-in-silvertown/
7. 7
A joint communication
and positioning/sensing
technology platform for
Industry 4.0
Ethernet and
Time Sensitive Networking
(TSN)
Private 5G network
Licensed, shared and
unlicensed Spectrum
Ultra Reliable Low Latency
Communication (URLLC)
and 5G Sidelink
Precise positioning
7
Scalable wireless connectivity
on a future proof platform
Dedicated and reliable networks
optimized for local services
Capabilities for new use-cases
e.g., seamless mobility
with wireless Industrial Ethernet
9. Coverage, capacity, and mobility
Outdoor/indoor, high data speeds, seamless
handovers, public network fallback
Reliability and precise timing
Industrial grade reliability, latency and
synchronization (eURLLC3 and TSN4)
Interoperability
Global standard, vast ecosystem,
future proof with rich 5G roadmap
5G private networks bring benefits
to industry and enterprise
Optimized
Tailored performance for local
applications, e.g., low latency, QoS2
Dedicated
Local network, dedicated resources,
independently managed
Secure
Cellular grade security, sensitive
data stays on-premises
Public
network
fallback
Private network1
1. Also referred to as non-public network (NPN); 2. Quality of service; 3. Enhanced ultra-reliable low-latency communication; 4 Time sensitive network
10. 10
10
Licensed
spectrum
Exclusive use
Over 40 cellular bands globally to date
Shared
spectrum
New spectrum sharing paradigms
Example: 2.3 GHz Europe / 3.5 GHz USA
Unlicensed
spectrum
Shared use
Example: 2.4 GHz / 5 GHz / 60 GHz global
Spectrum sharing
5G leverages all types of spectrum
from a single standard with a global ecosystem
11. 11
Sweden • 1780-1785/1875-1880 MHz
• 3720 - 3800 MHz
• 24.5 – 25.1 GHz
Global snapshot of spectrum optimized for industrial IoT /
vertical / private network use — local licensing or sharing
USA • 3.5 GHz CBRS, exclusive & shared licenses
• 37 - 37.6 GHz shared spectrum/local licenses, under evaluation
Germany • 3.7 – 3.8 GHz
• 24.25 - 27.5 GHz, local licenses
Finland • 2300 – 2320 MHz
• Sub-licensing of 3.4 – 3.8 GHz
• 24.5 – 25.1 GHz
Australia • 24.25 - 27.5 GHz and 27.5 – 29.5 GHz for local licensing
• 3.7 – 4.0 GHz for local area wireless broadband licensing in 2022
Hong Kong
• 24.25 - 28.35 (400 MHz) available for local licenses
Netherlands • 3410 – 3450 MHz for local industrial use
• 3750 – 3800 MHz available with restrictions
• 2.3 – 2.4 GHz (licensed shared access online booking system)
France • 2575 – 2615 MHz
• 26.5 – 27.5 GHz (test licenses)
Malaysia • 26.5 – 28.1 GHz will be assigned for the deployment of local/private
networks
Singapore • Each operator has acquired 800 MHz of 26/28 GHz spectrum to deploy
local networks
New Zealand
• Licenses in 2575 – 2620 MHz may be assigned for localized use
• 3.4 - 3.6 GHz, 2*20 MHz, Allocated in 2020 with a leasing option
Czech Republic
• 3.8 - 4.2 GHz
• 1781.7-1785/1876.7-1880 MHz
• 24.25 - 26.5 GHz, local licenses
U.K.
Brazil
• 3.7 – 3.8 GHz, under consideration
• 27.5 – 27.9 GHz, allocation completed
• 3.75 – 3.8 GHz
Chile
Japan
• Phase 1: 2,575 - 2,595 MHz (NSA anchor) and 28.2 - 28.3 GHz; local
licenses
• Phase 2: 1888.5 - 1916.6 MHz (NSA anchor), 4.6 - 4.9 GHz (4.6 - 4.8 GHz
indoor only, 4.8 - 4.9 GHz outdoor possible) & 28.3 - 29.1 GHz (150 MHz
outdoor; total 250 MHz 28.2 – 28.45 MHz); local license.
• Uplink heavy TDD config. using semi-sync allowed in sub-6 & 28 GHz
South Korea
• 28.9 - 29.5 GHz for 5G specialized local applications
Taiwan
• 4.8 – 4.9 GHz for 5G local private and enterprise licenses
12. 12
12
5G brings support for Time Sensitive Networking (TSN)
A requirement for industrial automation and many other industrial IoT applications
Computation of Correction Field
5G
TSN
adapter
UE
TSN
adapter
gNB
5G core
QoS
Backhaul Air link
Ethernet
5G as TSN bridge
5G TSN adapters allow the 5G
system to act as a TSN bridge
with Ethernet connectivity
Mapping of TSN configurations to
5G QoS framework for deterministic
messaging and traffic shaping
Precise time synchronization with
generalized Precision Time Protocol
(gPTP) at microsecond level
1 The TSN network is controlled by a Central Network Controller (CNC). TSN and CNC are defined in a set of standards specified by IEEE 802.1.
User plane
Control plane
QoS
5G system time
(SIB9 & Waveform)
TSN device
TSN network
and controller1
TSN master clock TSN client clock
Ethernet
TSN config.
Ethernet
header
Payload
gPTP
Packet
Timestamp and
correction
gPTP
Packet
Timestamp and
correction
Ethernet
header
Payload Payload
5G
header
Payload
Compressed ethernet header
13. 13
5G CoMPachieves ultra-reliability
Spatial diversity for eURLLC
1
to reach 99.9999% reliability
2
TRP 3
gNB
Distributed
Units
gNB Centralized
Unit and CoMP server
• Other diversity methods such as
frequency and time diversity are
not sufficient for URLLC
• CoMP is facilitated by denser
deployment of small cells with
high bandwidth backhaul
Coordinated Multi
Point (CoMP) creates
spatial diversity
with redundant
communication paths
TRP TRP
1. Enhanced ultra-reliable low latency communication; 2. A performance requirements for communication service availability in 3GPP TS 22.104;
3. Transmission/Reception Point
14. 14
Source sample text
Industrial automation
Aviation and public safety
Remote medicine
Autonomous vehicles
Smart grid/energy
Robotics
5G NR URLLC
for new mission-
critical services
Ultra-low millisecond e2e latency
Faster, more flexible frame structure; also new non-
orthogonal uplink access
High reliability targeting < 10-5 BLER1
Ultra reliable transmissions that can be time
multiplexed with nominal traffic through puncturing
High availability
Simultaneous links with dual connectivity for failure
tolerance and extreme mobility
A platform for tomorrow’s more
autonomous world
1 Block Error Rate
19. 19
19
Reported
position
Reported
position
RTT1
RTT2
RTT3
Beam 2
Zenith
Azimuth
The network reports the location of the cell-site serving the
device or the centroid of its coverage
Cell-ID
Time differences between downlink PRS from multiple cells and
uplink SRS are reported either by the cell-site or the device
MC-RTT
The device measures and reports the strength with which it
receives PRS for each beam, where the angle of the beam is
known
DL-AoD
The network measures the azimuth and zenith of arrival of SRS
from the device relative to a reference direction
UL-AoA
The device measures the time difference of arrival (TDOA) of
downlink positioning reference signals (PRS) from different
cells and cell-sites
DL-TDOA
Leveraging time of flight and angular resolution to deliver precise positioning
RF fingerprinting and ML-based algorithms further enhance accuracy
AoA: Angle of arrival; AoD: Angle of departure; DL: Downlink; MC: Multi-cell; ML: Machine learning; PRS: Positioning reference signals; RTT: Round-trip time; SRS: Sounding reference
signals; UL: Uplink
5G brings multiple positioning techniques
For different deployment scenarios and use-cases
The network measures the relative time of arrival (RTOA) of the
device’s sounding (SRS) from different cells and cell-sites
UL-RTOA
20. 20
20
Reported
position
Reported
position
RTT1
RTT2
RTT3
Beam 2
Zenith
Azimuth
The network reports the location of the cell-site serving the
device or the centroid of its coverage
Cell-ID
Time differences between downlink PRS from multiple cells and
uplink SRS are reported either by the cell-site or the device
MC-RTT
The device measures and reports the strength with which it
receives PRS for each beam, where the angle of the beam is
known
DL-AoD
The network measures the azimuth and zenith of arrival of SRS
from the device relative to a reference direction
UL-AoA
The device measures the time difference of arrival (TDOA) of
downlink positioning reference signals (PRS) from different
cells and cell-sites
DL-TDOA
Leveraging time of flight and angular resolution to deliver precise positioning
RF fingerprinting and ML-based algorithms further enhance accuracy
AoA: Angle of arrival; AoD: Angle of departure; DL: Downlink; MC: Multi-cell; ML: Machine learning; PRS: Positioning reference signals; RTT: Round-trip time; SRS: Sounding reference
signals; UL: Uplink
5G brings multiple positioning techniques
Mobile World Congress – Barcelona, 2022
The network measures the relative time of arrival (RTOA) of the
device’s sounding (SRS) from different cells and cell-sites
UL-RTOA
21. 21
Source: RP-211660 Expanded and improved Positioning. 1. Roundtrip Time; 2. Angle of Arrival, Angle of Departure; 3. Time Difference of Arrival; 4. Radio Access
Technology; 5. Positioning Reference Signal, Sounding Reference Signal; 6. Non-line of sight; 7. aka. RedCap
Pushing forward with the 5G positioning technologies
5G Advanced in Release 18+
Improving performance, expanding to new devices and deployments
Sidelink
positioning
and ranging
Defining reference
signals, measurements,
procedures for out-of-
range, absolute and
relative (e.g., ranging)
sidelink positioning
Improved
positioning
performance
Specifying higher
layer solutions for RAT4
dependent positioning
techniques, accuracy
improvement based
on PRS/SRS5 bandwidth
aggregation, carrier phase
measurements, and
positioning accuracy in
heavy NLOS6 with AI/ML
NR-Light7
positioning
Setting performance
requirements, evaluating
performance for R17
positioning procedures,
and identifying potential
enhancements
Release 17
Enhancing performance
5G Positioning
Evolution
Meeting centimeter-level
absolute accuracy
requirement of down to
0.3m
Reducing positioning
latency to as low as 10 ms
Scaling to higher capacity
for millions of
simultaneous devices
(e.g., IoT, automotive)
Release 16
Establishing foundation
Achieving accuracy of
3m/10m (indoor/outdoor) for
80% of time
Supporting RTT1,
AoA/AoD2, TDOA3,single-
cell positioning
Including new evaluation
scenarios, i.e., industrial IoT
22. 22
5G Core
Network
5G Base Station
with CoMP
Robert Bosch Elektronik GmbH Factory in Salzgitter, Germany
Qualcomm Industrial
Test Device with 5G
Modem
Assisted
Guided Vehicle
(AGV)
5G Private Network
3.75GHz
Bosch Rexroth
ctrlX CORE
Controller
TSN
Switch
Qualcomm® 5G
Test Network
Positioning
Server
5G Remote Radio Heads
PTP
Grandmaster
HD Vision
Systems
Camera
Autonomous
Mobile Robot
(AMR)
Bosch Rexroth
ctrlX CORE
Controller
Qualcomm Technologies, Inc.
solutions
Robert Bosch Elektronik
GmbH, Bosch Rexroth AG &
other supplier solutions
Qualcomm Technologies, Inc. & Bosch Rexroth AG Showcase an End-to-End Industrial Solution for Time-Synchronized Applications.
The Demo Installation at the Robert Bosch Elektronik GmbH Factory in Salzgitter, Germany, Showcases Ultra-Low Latency and Time-Synchronized
Networking for an Autonomous Mobile Robot (AMR) and Positioning an Assisted Guided Vehicle (AGV) Over a Live 3.75GHz 5G Private Network.
Qualcomm 5G technology is licensed by Qualcomm Incorporated. Qualcomm 5G products are products of Qualcomm Technologies, Inc. and/or its subsidiaries.