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Showing posts from November, 2024

E-SIM Technology: Enabling Seamless Global Connectivity

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What are eSIMs? The traditional plastic card that is small and hard to carry but very much familiar to many that contains information such as mobile numbers, contact and carrier details and thereby allows the users to send and receive calls and SMS messages is the very common thing with people. Nonetheless, physical SIM cards will sooner be substituted by eSIMs, which facilitate several benefits. Contrary to physical SIM cards, eSIMs are inbuilt in the mobile or IoT device and they cannot be removed. The eSIM can be configured by a user remotely, which means they can connect with other networks or make adjustments anywhere that has an internet connection without actually changing the device. Importance and relevance of eSIM in today’s digital era: The technology of the eSIM is the principal element of the digital environment, facilitating the connection to the internet without combating the hardware for devices and services, thus, it provides the possibilities for the changing and port...

AI-Driven Code Refactoring: Modernizing Legacy Systems at Scale

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  Key Takeaways: Legacy system modernization is an inevitable measure for industries to stay competitive, agile, and innovate, particularly in the healthcare, finance, and insurance sectors. There are numerous ways of future-proofing your enterprise through various strategies of modernization. It may help the business to overcome the constraints of old systems, by means of proper strategies. Modernization enhances security, compliance, performance, and scalability besides decreasing operational costs and improving the user experience. By bringing AI into legacy systems, old-fashioned methods become automatic, work is more productive and even the whole business is transformed for future success. What is Legacy Application Modernization? Legacy application modernization is the digital transformation of the existing systems into the new ones that are secure, high-performing, and scalable. These systems usually use obsolete programming languages and architectures which are difficult to...

Digital Rights Management (DRM) for NFTs and Metaverse Assets

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Key Definitions in Digital Asset Management: The very first output that was prepared by the DAM Working Group and is really essential for setting up the standards and rules for the whole Metaverse was the definition of digital asset management concepts. The definitions included in this first set are the ones covering such important concepts as digital assets, DRM, wallets, and blockchain, and they constitute the first block of the comprehensive path they are going to follow. On the one hand, they establish the required context and provide a clear terminological framework which is crucial for guiding all other initiatives and discussions related to digital assets within the DAM Working Group. This is a project that is closely related to the aim of delivering clear, concise, and generally-accepted definitions as per the main goal of the working group charter.   Key values of a DRM solution: Intellectual Property (IP): Protection DRM tools ensure digital assets such as media files, do...

Cross-Layer Optimization in 6G Networks

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  Abstract: An integration of 6G network intelligence technologies and the F-RAN architecture, the 6G smart fog radio access network (F-RAN) is proposed to aim for low-latency, high-performance services in terms of access devices. Nevertheless, the level of integration with the 6G network intelligence technologies in their current form, and with the system-level requirements related to the number of access devices and constraints on energy consumption, has slowed the progress of improvement for the smart F-RAN 6G. To better analyze the root causes of the network problems and promote the practical development of the network, this study used structured methods such as segmentation to conduct a review of the topic. The research results show that there are still many problems in the current 6G smart F-RAN. Future research directions and difficulties are also discussed.  

Voice Commerce: Transforming Retail Through Voice-Activated Transactions

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  In the bustling world of retail business, where technology consistently reshapes the way we shop, a new contender has emerged to redefine the shopping experience: voice commerce. The words “Hey Siri,” “Okay Google,” and “Alexa, add to cart” are becoming as familiar as a friendly store assistant. The rise of voice-activated shopping is rewriting the rules of retail, and savvy businesses are beginning to tune in to this sonic revolution.

Serverless Databases: Reducing Overhead in Data Management

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  Obviously, they revolutionize the approach to data handling and deliver unparalleled efficiency for serverless databases. Understanding Serverless Databases Definition: Serverless databases avoid the headache of infrastructure management altogether, thus making it smooth for developers. Scalability: Automatically scale resources based on demand, ensuring optimal performance without manual intervention. The idle resource overhead is removed, and the pay-as-you-go pricing model lowers costs. Advantages of Serverless Databases Flexibility: Control of focus on application development and not the server provisioning and/or maintenance tasks. Real-Time Scalability: Handle sudden spikes in workload seamlessly, accommodating varying traffic levels effortlessly. Automatic Backup and Recovery: In-built data safety and backup mechanisms to use automatic backup and recovery mechanisms.

Distributed AI Models: Training and Inference Across Multiple Nodes

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  Distributed Inference: Imagine having a language model so large it can’t fit on a single computer. That’s where distributed inference comes in. It’s like dividing a big task among multiple workers. vLLM is a tool that helps break down these massive models and spread them across multiple GPUs or even entire machines, making it possible to work with them efficiently. vLLM: vLLM is a fast and easy-to-use library for LLM inference and serving. vLLM is fast with: State-of-the-art serving throughput Efficient management of attention key and value memory with PagedAttention Continuous batching of incoming requests Fast model execution with CUDA/HIP graph Quantizations:  GPTQ ,  AWQ , INT4, INT8, and FP8. Optimized CUDA kernels, including integration with FlashAttention and FlashInfer. How to decide the distributed inference strategy? Before going into the details of distributed inference and serving, let’s first make it clear when to use distributed inference and what are the ...

Passwordless Authentication: Replacing Passwords with Biometrics and Tokens

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  It’s World Password Day again, and we’re very excited to talk about one of our favorite topics – you (and hopefully no hackers) guessed it – passwords! So far, we’ve covered the  history of passwords ,  what a strong password looks like ,  and how to check if your passwords have been hacked . Today, let’s explore how passwords, which have long served as the cornerstone of digital security, 

Real-Time Analytics in Big Data: Challenges and Innovations

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  In the modern age of data-driven decision-making, businesses are increasingly turning to real-time big data analytics as a game-changing tool. This revolutionary approach empowers organizations to process, analyze, and derive insights from vast streams of data as they’re generated, allowing for instantaneous responses and informed decisions. In this blog post, we’ll delve into the world of real-time big data analytics, exploring its fundamental concepts, highlighting its importance in the contemporary business landscape, and uncovering its transformative impact on decision-making processes. The Significance of Real-Time Analytics In an era marked by rapid technological advancements and ever-evolving customer expectations, the pace at which information is generated and consumed has reached unprecedented levels. Traditional batch processing methods, which involve collecting and analyzing data in large chunks, no longer suffice to meet the demands of real-time decision-making. This ...

Quantum-Safe Cryptography: Preparing for Post-Quantum Security

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  As quantum computing advances at an unprecedented pace, it threatens traditional cryptographic methods that software creators currently rely on for security. The power of quantum computers has the potential to break widely used encryption algorithms, leaving sensitive data vulnerable to decryption.  For software providers, this means one thing: preparation is essential. When post-quantum cryptography (PQC) becomes standardized, software vendors must be ready to seamlessly integrate these new algorithms. This demands a shift towards crypto-agile architectures — flexible software systems that can quickly adopt new encryption methods and security practices. What is post-quantum cryptography:   Post-Quantum Cryptography also called quantum-safe or quantum-resistant cryptography, is the development of algorithms designed to secure data against both classical and quantum computing attacks.  Today, digital security heavily relies on cryptographic algorithms such as  ...