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(English below)
Edge computing is een nieuwe technologische trend, maar is het eigenlijk wel zo nieuw? En gebruik jij het zelf niet ook al dagelijks? Waarschijnlijk wel. Maar waarom is dit dan nú een trend om meer over te willen weten? Van 'open source imagination' tot wat je Iphone hiermee te maken heeft, David Sálek van SURF praat je in 15 minuten bij over Edge Computing voor research en onderwijs. 

Let op, voertaal in deze aflevering is Engels

Tip van David: https://www.youtube.com/watch?v=UoBUXOOdLXY
Meer lezen op SURF.nl: https://www.surf.nl/files/2023-02/sf_trendrapport_h2-edge.pdf

(English decription)
Edge computing is a new technology trend, but is it really that new? And don't you already use it daily? Probably. But why is this now a trend to want to know more about? From 'open source imagination' to what your iPhone has to do with this, David Sálek from SURF will talk you through Edge Computing for research and education in 15 minutes.

Tip from David: https://www.youtube.com/watch?v=UoBUXOOdLXY
Read more on SURF.nl: https://www.surf.nl/files/2023-02/sf_trendrapport_h2-edge.pdf

Wat je moet weten over... Edge Computing

This episode features Red Hat’s Lester Claudio and Jonny Rickard who maintain Validated Patterns for GitOps, hybrid cloud, industrial edge computing, and more.

Join us as we discuss some of the challenges to maintaining patterns, GitOps architecture on Kubernetes, and what kind of hats we would be.

PODCAST NOTES
Validated Patterns Documentation: hybrid-cloud-patterns.io
Validated Patterns Github: github.com/hybrid-cloud-patterns
Validated Patterns Status: hybrid-cloud-patterns.io/ci/
ArgoCD: argoproj.github.io/cd/
Vault Secrets Operator: hashicorp.com/blog/vault-secrets-operator-a-new-method-for-kubernetes-integration
OpenShift Commons Slack: openshiftcommons.slack.com/

Episode 38 - Jonny Rickard & Lester Claudio, Red Hat

On this second episode of F0r 1nstance podcast, Sarbjeet and Sarah unpack further earnings releases (expected, unexpected, intriguing, and concerning), philosophize about what truly makes a hybrid cloud and what drives repatriation, and speculate about how AWS is pursuing revenue growth with Generative AI.

Episode 02: Of Economics, Repatriation, and AWS’s Pursuit of Generative AI

Sarbjeet covers his experience at VMware Explore and VMware's positioning post-acquisition, Sarah highlights more news in the continuing slug fest in semiconductors, conjecture about the many suitors courting Hugging Face, and thoughts about the value and value[s] of Generative AI-- landing the third episode of F0r 1nstance.

Show notes: https://docs.google.com/document/d/1tuflncafK03KB0XJ38tlv9FpzdxrJraq8z4o5vTsmuY/edit?pli=1

Episode 03: VMware Explore, the Changing Landscape of Semiconductors, and What Makes AI Generative

Dive into our latest episode of GXC's Monday MeshUp, Innovation at the Edge: How Private Networks and AI are Shaping the Future, hosted by Allen Proithis, we explore the game-changing role of private cellular communications in key sectors like oil, gas, mining, utilities, logistics, and ports. 

Joined by Patrick Parodi and Harish Nalinakshan from PwC, we delve into how private networks are driving automation and boosting efficiency in challenging environments.

We tackle the crucial role of security in our digital world, stressing the importance of safeguarding operations. Additionally, we examine the rise of generative AI and hybrid networks, forecasting a move towards seamless, automated solutions that enhance operational value.

This episode highlights the power of technology in addressing complex challenges, building trust, and propelling innovation for the future.

Listen now and be sure to check out more episodes of GXC's Monday MeshUp at gxc.io/podcasts/.

Episode 014 | Innovation at the Edge | How Private Networks and AI are Shaping the Future

In this episode, we dive deep into the cutting-edge advancements in the intersection of Federated Learning (FL) and the Internet of Things (IoT) through a discussion based on the recent paper, Self-Adaptive Federated Learning in IoT Systems: A Review. For more visit: https://iotgarage.net/researchoutputs/

Self-Adaptive Federated Learning In Internet of Things Systems: A Review

AI and edge computing are revolutionizing wildlife conservation efforts. Join In the first of a two-part series, Arm Editor-in-Chief Brian Fuller, wildlife researcher Melanie Clapham and Arm technologist Ed Miller as they discuss the Bear ID project, using Arm technology to identify individual bears non-invasively. Discover the challenges, ethical considerations, and future potential of AI in animal research and protection.

Arm Viewpoints: Bearly Scratching the Surface - AI's Role in Wildlife Conservation

In this engaging episode of "AI with Shaily," host Shailendra Kumar takes listeners on a captivating journey through the latest advancements in artificial intelligence. 🎙️✨ The show emphasizes the dynamic and rapidly changing landscape of AI, where technology is constantly evolving and reshaping our world.

One of the key topics discussed is the recent breakthrough in energy efficiency for neural networks. Shailendra presents an analogy of neural networks as thirsty travelers, with energy being their essential resource. 🧳💧 He highlights research from the *Journal of Statistical Mechanics*, which suggests that starting with smaller networks and employing curriculum learning can lead to effective training while conserving energy. This innovative approach is likened to nurturing a bonsai tree that grows into a robust oak while using minimal water. 🌳💡 Shailendra poses an intriguing question about whether this sustainable growth could be the key to AI's future.

The episode also dives into Broadcom's latest innovations, particularly their new PON solutions. Shailendra describes how their power management chips, BCM68660 and BCM55050, are designed to enhance edge AI and learning applications. 🏃‍♂️⚡ He compares this advancement to a sprinter poised to break records at the starting line, emphasizing that these chips not only increase speed but also enable smarter decision-making at the network's edge. This showcases the exciting technological progress occurring in real-time.

Another significant topic is the global surge towards generative AI, with companies around the world harnessing its potential to innovate and stay ahead of the competition. Shailendra likens this movement to the industrial revolution, positioning GenAI as the driving force behind unprecedented enterprise efficiency. 🚀🏭 He prompts listeners to consider how their organizations plan to adapt to this fast-paced GenAI era, encouraging a proactive mindset in embracing change.

As a bonus tip, Shailendra advises starting AI projects with smaller networks to ensure an energy-efficient journey. 🌱⚙️ This practical suggestion not only conserves resources but also enhances performance, making it a valuable insight for aspiring AI developers.

The episode wraps up with a thought-provoking quote: "AI is not just a trend; it's the evolution of creativity and efficiency." 💭✨ Shailendra invites listeners to join the conversation on various platforms such as YouTube, Twitter, LinkedIn, and Medium, encouraging them to share their thoughts and subscribe for more enlightening discussions on AI. He concludes with a reminder to keep exploring the fascinating frontier of artificial intelligence, leaving the audience eager for the next episode.

AI Revolution: Energy-Efficient Neural Networks & Edge Breakthroughs

In this episode of Arm Viewpoints, host Brian Fuller chats with SpaceTech CEO Sean Ding about the transformative role of Edge AI in smart buildings. Sean shares insights from his journey at Intel, Huawei and Alibaba, leading to his work at Vanke’s SpaceTech, where he’s driving the digitization of 1 billion square meters of real estate in China (four times the size of Washington, D.C.). They discuss the integration of Arm-based edge servers, AI for energy efficiency and the future of smart building technology. Tune in to explore how innovation is reshaping property management and advancing green building initiatives.

Arm Viewpoints: Bringing edge AI to millions of homes

Welcome to the latest episode of "AI with Shaily," hosted by Shailendra Kumar! 🎙️ Today’s deep dive explores the cutting-edge trend of edge computing and its transformative impact on data science by 2026. 🚀

Picture yourself in a busy airport 🛫, where countless sensors monitor luggage, security checkpoints, and crowd movements. Traditionally, all this data would be sent to distant cloud data centers for processing, causing delays in receiving actionable insights. Edge computing changes the game by analyzing data locally, right at the airport terminals, enabling near real-time decision-making. This shift isn’t just about speed; it revolutionizes how quickly and effectively decisions can be made on-site. ⏱️✨

Edge computing moves data processing closer to where data is generated—think IoT devices in smart cities 🌆 or autonomous vehicles 🚗. This proximity drastically reduces latency, allowing industries to respond instantly. When combined with edge AI—powered by compact yet powerful chips like NVIDIA’s Jetson series—complex machine learning tasks can be executed directly on these devices. Imagine having the computational power of a full data center in the palm of your hand! 🤯💻

But it’s not only about faster processing. Data science is evolving from handling centralized, static datasets to managing dynamic, distributed data streams. Hybrid architectures that blend edge and cloud computing are redefining data workflows, offering a flexible and efficient approach. The edge data center market is booming, expected to exceed $300 billion by 2026, underscoring the critical infrastructure supporting this growth. 💡📊

The impact spans multiple sectors: healthcare benefits from real-time patient monitoring with minimal delays 🏥❤️, manufacturers can optimize production lines on the fly 🏭⚙️, and autonomous vehicles improve safety through instant decisions 🛡️. These advancements reduce operational costs and pave the way for innovations we’re only beginning to imagine. 🌟

Drawing from personal experience, Shailendra shares that early challenges in implementing edge AI in industrial environments included managing complexity and latency. However, with rapid technological advancements and scalable platforms, these hurdles are quickly diminishing. A valuable tip for those exploring edge AI: focus on understanding hybrid deployment models, which balance local processing with cloud analytics for maximum flexibility. 🎯🔧

To wrap up, Shailendra poses a thought-provoking question: How will your industry or daily life transform when data-driven decisions happen instantly, right where the action takes place? 🤔⚡

He closes with an inspiring quote from computer pioneer Alan Kay: “The best way to predict the future is to invent it.” Edge computing and data science are actively shaping that future today. 🌍✨

Don’t miss out—follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more AI insights. Subscribe, share your thoughts, and keep pushing the boundaries of innovation. Until next time, keep imagining, innovating, and questioning! 🙌🤖

Edge Computing Revolution: How AI and Data Science Will Transform Our Future by 2026

Welcome to GXC's Monday MeshUp, a podcast that gives you an inside look at GXC, our private cellular network platform GXC Onyx, and the latest industry news to enable a world where enterprises can trust wireless connectivity to be simple.

Elke maand praten we je in 15 minuten bij over de technologische ontwikkelingen in onderwijs en onderzoek. Dus luister elke maand naar SURF Short: met in deze aflevering, wat je MOET weten over.....

SURF Short is een productie van SURF, dé samenwerkingsorganisatie op het gebied van digitalisering in het onderwijs en onderzoek in Nederland.

Welcome to F0r 1nstance podcast—the tech podcast where we spin out   endless supposals about cloud, AI, the edge, and more. We sift through current events, opine about what it means for practitioners and leaders, and interview industry observers about where different technologies are taking us. If you like digging into the story behind the story in tech, this podcast is for you.

©2023 F0r 1nstance Podcast

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

HashiCast is a podcast about the world of DevOps and cloud technology produced by HashiCorp, an IBM company.

Arm technology is at the heart of a computing and data revolution that is transforming the way people live and businesses operate. Our energy-efficient processor designs and software platforms have enabled advanced computing in more than 215 billion chips and our technologies securely power products from the sensor to the smartphone and the supercomputer. Together with 1,000+ technology partners we are at the forefront of designing, securing and managing all areas of AI-enhanced connected compute from the chip to the cloud.

New tracks tagged #EdgeComputing