#edge computing applications
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techtoio · 1 year ago
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The Edge of Innovation: Why Edge Computing Is a Big Deal
Introduction
Staying updated with the ever-evolving world of technology is vital. At TechtoIO, we pride ourselves on being at the edge of innovation. Edge computing is one of the most revolutionary developments transforming the technology landscape today. But what exactly is edge computing, and why is it such a big deal? Let’s dive into this fascinating topic to understand its significance and potential impact on our digital future. Read to continue
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antstackinc · 8 days ago
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goodoldbandit · 1 month ago
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Beyond the Firewall: Edge Security Meets Zero Trust for a Safer Digital Frontier.
Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how Edge Security & Zero Trust Architecture with continuous verification secures distributed data and apps. Join the discussion!
 Quick insights to shift your security approach. Today, data and apps live everywhere. The old wall around the network no longer holds. We must shift to a model that checks every request at…
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lucid-outsourcing-solutions · 3 months ago
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ColdFusion with AWS Greengrass: Running Edge Computing Applications
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fusiondynamics · 5 months ago
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Future Applications of Cloud Computing: Transforming Businesses & Technology
Cloud computing is revolutionizing industries by offering scalable, cost-effective, and highly efficient solutions. From AI-driven automation to real-time data processing, the future applications of cloud computing are expanding rapidly across various sectors.
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Key Future Applications of Cloud Computing
1. AI & Machine Learning Integration
Cloud platforms are increasingly being used to train and deploy AI models, enabling businesses to harness data-driven insights. The future applications of cloud computing will further enhance AI's capabilities by offering more computational power and storage.
2. Edge Computing & IoT
With IoT devices generating massive amounts of data, cloud computing ensures seamless processing and storage. The rise of edge computing, a subset of the future applications of cloud computing, will minimize latency and improve performance.
3. Blockchain & Cloud Security
Cloud-based blockchain solutions will offer enhanced security, transparency, and decentralized data management. As cybersecurity threats evolve, the future applications of cloud computing will focus on advanced encryption and compliance measures.
4. Cloud Gaming & Virtual Reality
With high-speed internet and powerful cloud servers, cloud gaming and VR applications will grow exponentially. The future applications of cloud computing in entertainment and education will provide immersive experiences with minimal hardware requirements.
Conclusion
The future applications of cloud computing are poised to redefine business operations, healthcare, finance, and more. As cloud technologies evolve, organizations that leverage these innovations will gain a competitive edge in the digital economy.
🔗 Learn more about cloud solutions at Fusion Dynamics! ���
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classroomlearning · 5 months ago
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BTech CSE: Your Gateway to High-Demand Tech Careers
Apply now for admission and avail the Early Bird Offer
In the digital age, a BTech in Computer Science & Engineering (CSE) is one of the most sought-after degrees, offering unmatched career opportunities across industries. From software development to artificial intelligence, the possibilities are endless for CSE graduates.
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Software Developer: Design and develop innovative applications and systems.
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AI/ML Engineer: Lead the way in artificial intelligence and machine learning.
Cloud Architect: Build and maintain cloud-based infrastructure for global organizations.
Why Choose Brainware University for BTech CSE?
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Your journey to becoming a tech leader starts here!
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2ribu · 6 months ago
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Evolusi Framework AI: Alat Terbaru untuk Pengembangan Model AI di 2025
Kecerdasan buatan (AI) telah menjadi salah satu bidang yang paling berkembang pesat dalam beberapa tahun terakhir. Pada tahun 2025, teknologi AI diperkirakan akan semakin maju, terutama dengan adanya berbagai alat dan framework baru yang memungkinkan pengembang untuk menciptakan model AI yang lebih canggih dan efisien. Framework AI adalah sekumpulan pustaka perangkat lunak dan alat yang digunakan…
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cookiecrazeheaven · 9 months ago
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Streamline Network Performance with TCPWave’s DDI and ADC Solutions
Optimize your network with TCPWave’s integrated DDI (DNS, DHCP, IP Address Management) and Application Delivery Controller (ADC) solutions. Our advanced platform combines seamless automation, robust security, and real-time analytics to ensure efficient network operations and high application availability.
Our ADC solutions complement this by enhancing the availability, security, and performance of your applications. With advanced load balancing, traffic optimization, and SSL offloading, TCPWave’s ADCs ensure that your applications are always responsive, secure, and able to handle peak loads effortlessly.
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creativeera · 9 months ago
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Understanding Embedded Computing Systems and their Role in the Modern World
Embedded systems are specialized computer systems designed to perform dedicated functions within larger mechanical or electrical systems. Unlike general-purpose computers like laptops and desktop PCs, embedded systems are designed to operate on specific tasks and are not easily reprogrammable for other uses. Embedded System Hardware At the core of any embedded system is a microcontroller or microprocessor chip that acts as the processing brain. This chip contains the CPU along with RAM, ROM, I/O ports and other components integrated onto a single chip. Peripherals like sensors, displays, network ports etc. are connected to the microcontroller through its input/output ports. Embedded systems also contain supporting hardware like power supply circuits, timing crystal oscillators etc. Operating Systems for Embedded Devices While general purpose computers run full featured operating systems like Windows, Linux or MacOS, embedded systems commonly use specialized Real Time Operating Systems (RTOS). RTOS are lean and efficient kernels optimized for real-time processing with minimal overhead. Popular RTOS include FreeRTOS, QNX, VxWorks etc. Some simple devices run without an OS, accessing hardware directly via initialization code. Programming Embedded Systems Embedded Computing System are programmed using low level languages like C and C++ for maximum efficiency and control over hardware. Assembler language is also used in some applications. Programmers need expertise in Microcontroller architecture, peripherals, memory management etc. Tools include compilers, linkers, simulators and debuggers tailored for embedded development. Applications of Embedded Computing Embedded systems have revolutionized various industries by bringing intelligence and connectivity to everyday devices. Some key application areas include: Get more insights on Embedded Computing
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techtoio · 1 year ago
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Exploring the Latest Trends in Software Development
Introduction The software is something like an industry whose development is ever-evolving with new technologies and changing market needs as the drivers. To this end, developers must keep abreast with current trends in their fields of operation to remain competitive and relevant. Read to continue .....
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jcmarchi · 2 months ago
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NTT Unveils Breakthrough AI Inference Chip for Real-Time 4K Video Processing at the Edge
New Post has been published on https://thedigitalinsider.com/ntt-unveils-breakthrough-ai-inference-chip-for-real-time-4k-video-processing-at-the-edge/
NTT Unveils Breakthrough AI Inference Chip for Real-Time 4K Video Processing at the Edge
In a major leap for edge AI processing, NTT Corporation has announced a groundbreaking AI inference chip that can process real-time 4K video at 30 frames per second—using less than 20 watts of power. This new large-scale integration (LSI) chip is the first in the world to achieve such high-performance AI video inferencing in power-constrained environments, making it a breakthrough for edge computing applications.
Revealed during NTT’s Upgrade 2025 summit in San Francisco, the chip is designed specifically for deployment in edge devices—hardware located physically close to the source of data, like drones, smart cameras, and sensors. Unlike traditional AI systems that rely on cloud computing for inferencing, this chip brings powerful AI capabilities directly to the edge, drastically reducing latency and eliminating the need to transmit ultra-high-definition video to centralized cloud servers for analysis.
Edge Computing vs. Cloud Computing: Why It Matters
In traditional cloud computing, data from devices like drones or cameras is sent to remote data centers—often located hundreds or thousands of miles away—where it’s processed and analyzed. While this approach offers virtually unlimited compute power, it introduces delays due to data transmission, which is problematic for real-time applications like autonomous navigation, security monitoring, and live decision-making.
By contrast, edge computing processes data locally, on or near the device itself. This reduces latency, preserves bandwidth, and enables real-time insights even in environments with limited or intermittent internet connectivity. It also enhances privacy and data security by minimizing the need to transmit sensitive data over public networks.
NTT’s new AI chip fully embraces this edge-first philosophy—delivering real-time 4K video analysis directly within the device, without relying on the cloud.
A New Era for Real-Time AI on Drones and Devices
With this chip installed, a drone can detect people or objects from up to 150 meters (492 feet)—the legal altitude limit for drones in Japan. That’s a dramatic improvement over traditional real-time AI systems, which are generally limited to a 30-meter range due to lower resolution or processing speed.
This advancement enables a host of new use cases, including:
Infrastructure inspections in hard-to-reach places
Disaster response in areas with limited connectivity
Agricultural monitoring across wide fields
Security and surveillance without constant cloud uplinks
All of this is achieved with a chip that consumes less than 20 watts—dramatically lower than the hundreds of watts required by GPU-powered AI servers, which are impractical for mobile or battery-powered systems.
Inside the Chip: NTT’s Proprietary AI Inference Engine
The LSI’s performance hinges on NTT’s custom-built AI inference engine, which ensures high-speed, accurate results while minimizing power use. Key innovations include:
Interframe correlation: By comparing sequential video frames, the chip reduces redundant calculations, improving efficiency.
Dynamic bit-precision control: This technique adjusts the numerical precision required on the fly, using fewer bits for simpler tasks, conserving energy without compromising accuracy.
Native YOLOv3 execution: The chip supports direct execution of You Only Look Once v3, one of the fastest real-time object detection algorithms in machine learning.
These combined features allow the chip to deliver robust AI performance in environments previously considered too power- or bandwidth-limited for advanced inferencing.
Path to Commercialization and the IOWN Vision
NTT plans to commercialize the chip within fiscal year 2025 through its operating company, NTT Innovative Devices Corporation.
Researchers are already exploring its integration into the Innovative Optical and Wireless Network (IOWN)—NTT’s next-generation infrastructure vision aimed at overhauling the digital backbone of modern society. Within IOWN’s Data-Centric Infrastructure (DCI), the chip would take advantage of the All-Photonics Network for ultra-low latency, high-speed communication, complementing the local processing power it brings to edge devices.
NTT is also collaborating with NTT DATA, Inc. to combine the chip’s capabilities with its Attribute-Based Encryption (ABE) technology, which enables secure, fine-grained access control over sensitive data. Together, these technologies will support AI applications that require both speed and security—such as in healthcare, smart cities, and autonomous systems.
A Legacy of Innovation and a Vision for the Future
This AI inference chip is the latest demonstration of NTT’s mission to empower a sustainable, intelligent society through deep technological innovation. As a global leader with over $92 billion in revenue, 330,000 employees, and $3.6 billion in annual R&D, NTT serves more than 75% of Fortune Global 100 companies and millions of consumers across 190 countries.
Whether it’s drones flying beyond the visual line of sight, cameras detecting events in real-time without cloud dependency, or securing data flows with attribute-based encryption, NTT’s new chip sets the stage for the next frontier in AI at the edge—where intelligence meets immediacy.
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goodoldbandit · 4 months ago
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How to Use Telemetry Pipelines to Maintain Application Performance.
Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Optimize application performance with telemetry pipelines—enhance observability, reduce costs, and ensure security with efficient data processing. 🚀 Discover how telemetry pipelines optimize application performance by streamlining observability, enhancing security, and reducing costs. Learn key strategies and best…
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industrydesignservices · 2 years ago
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Teksun's cutting-edge solution for IoT & AI EDGE Gateway that communicate with the different smart devices. To know more, visit @ https://teksun.com
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tech-ahead-corp · 2 years ago
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IoT Network Protocols (e.g., MQTT, CoAP)
Harness robust IoT network protocols, including MQTT and CoAP, for seamless connectivity!
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Elevate Your Business With Cutting-Edge Cloud Application Development Services
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fusiondynamics · 5 months ago
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Available Cloud Computing Services at Fusion Dynamics
We Fuel The Digital Transformation Of Next-Gen Enterprises!
Fusion Dynamics provides future-ready IT and computing infrastructure that delivers high performance while being cost-efficient and sustainable. We envision, plan and build next-gen data and computing centers in close collaboration with our customers, addressing their business’s specific needs. Our turnkey solutions deliver best-in-class performance for all advanced computing applications such as HPC, Edge/Telco, Cloud Computing, and AI.
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With over two decades of expertise in IT infrastructure implementation and an agile approach that matches the lightning-fast pace of new-age technology, we deliver future-proof solutions tailored to the niche requirements of various industries.
Our Services
We decode and optimise the end-to-end design and deployment of new-age data centers with our industry-vetted services.
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System Design
When designing a cutting-edge data center from scratch, we follow a systematic and comprehensive approach. First, our front-end team connects with you to draw a set of requirements based on your intended application, workload, and physical space. Following that, our engineering team defines the architecture of your system and deep dives into component selection to meet all your computing, storage, and networking requirements. With our highly configurable solutions, we help you formulate a system design with the best CPU-GPU configurations to match the desired performance, power consumption, and footprint of your data center.
Why Choose Us
We bring a potent combination of over two decades of experience in IT solutions and a dynamic approach to continuously evolve with the latest data storage, computing, and networking technology. Our team constitutes domain experts who liaise with you throughout the end-to-end journey of setting up and operating an advanced data center.
With a profound understanding of modern digital requirements, backed by decades of industry experience, we work closely with your organisation to design the most efficient systems to catalyse innovation. From sourcing cutting-edge components from leading global technology providers to seamlessly integrating them for rapid deployment, we deliver state-of-the-art computing infrastructures to drive your growth!
What We Offer The Fusion Dynamics Advantage!
At Fusion Dynamics, we believe that our responsibility goes beyond providing a computing solution to help you build a high-performance, efficient, and sustainable digital-first business. Our offerings are carefully configured to not only fulfil your current organisational requirements but to future-proof your technology infrastructure as well, with an emphasis on the following parameters –
Performance density
Rather than focusing solely on absolute processing power and storage, we strive to achieve the best performance-to-space ratio for your application. Our next-generation processors outrival the competition on processing as well as storage metrics.
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Flexibility
Our solutions are configurable at practically every design layer, even down to the choice of processor architecture – ARM or x86. Our subject matter experts are here to assist you in designing the most streamlined and efficient configuration for your specific needs.
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Scalability
We prioritise your current needs with an eye on your future targets. Deploying a scalable solution ensures operational efficiency as well as smooth and cost-effective infrastructure upgrades as you scale up.
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Sustainability
Our focus on future-proofing your data center infrastructure includes the responsibility to manage its environmental impact. Our power- and space-efficient compute elements offer the highest core density and performance/watt ratios. Furthermore, our direct liquid cooling solutions help you minimise your energy expenditure. Therefore, our solutions allow rapid expansion of businesses without compromising on environmental footprint, helping you meet your sustainability goals.
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Stability
Your compute and data infrastructure must operate at optimal performance levels irrespective of fluctuations in data payloads. We design systems that can withstand extreme fluctuations in workloads to guarantee operational stability for your data center.
Leverage our prowess in every aspect of computing technology to build a modern data center. Choose us as your technology partner to ride the next wave of digital evolution!
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