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Embedded Systems Articles

• Ensure Cybersecurity in the Connected Vehicles Era With ISO/SAE 21434 (Aug. 19, 2024)
  This article explains why the international standard ISO/SAE 21434 provides a structured framework for cybersecurity in the automotive industry.
  
  
• Understanding mmWave RADAR, its Principle & Applications (Mar. 11, 2024)
  we will review and understand the technical aspects, application aspects, some mmWave RADAR concepts, estimation techniques, and MIMO concept. We will also look at different implementation platforms for RADAR estimation DSP part.
  
  
• Leveraging the RISC-V Efficient Trace (E-Trace) standard (Feb. 21, 2024)
  Understanding program behaviour in complex systems is not easy. Understanding the behaviour of complete systems is even more challenging. Get non-intrusive, full-speed and system-level visibility with E-Trace.
  
  
• Debugging complex RISC-V processors (Jan. 24, 2024)
  To debug and profile a RISC-V processor that comprises tens or hundreds of cores and processes billions of instructions each second can be challenging. Is the software running as expected? Does the verification team see the same behavior as the firmware engineers or application developers?
  
  
• Revolutionizing AI Inference: Unveiling the Future of Neural Processing (Jan. 18, 2024)
  To overcome CPU and GPU limitations, hardware accelerators have been designed specifically for AI inference workloads, enabling highly efficient and optimized processing while minimizing energy consumption.
  
  
• Performance Evaluation of machine learning algorithms for cyber threat analysis SDN dataset (Jan. 15, 2024)
  Identifying the problem of DDoS attacks is a major problem in machine learning. To achieve this, attackers often disrupt network bandwidth, shut down system resources, and thus restrict access to legitimate users. DDoS attacks are more common across network, transport and start-up layers, utilizing a seven-layer OSI model.
  
  
• Partitioning to optimize AI inference for multi-core platforms (Jan. 08, 2024)
  
  
  
• Quality Assurance for Embedded Systems (Dec. 14, 2023)
  In this article, we dissect the significance of QA in embedded systems, where precision and reliability are not just desired but mandatory. Join us as we navigate through various aspects of QA, exploring how QA shapes the robust functionality of embedded systems.
  
  
• Optimizing embedded software for real-time multimedia processing (Nov. 29, 2023)
  The demands of multimedia processing are diverse and ever-increasing. Modern consumers expect nothing less than immediate and high-quality audio and video experiences.
  
  
• Revolutionizing High-Voltage Controller Chips for Electric Vehicles (Nov. 27, 2023)
  In the early times, most of the vehicle’s circuits were simple, containing a few essential circuits such as lighting, wiper, etc. Over time, the vehicle’s circuits got updated, increasing complexity.
  
  
• Parsing the Mindboggling Cost of Ownership of Generative AI (Nov. 02, 2023)
  The latest algorithms, such as GPT-4, pose a challenge to the current state-of-the-art processing hardware, and GenAI accelerators aren’t keeping up. In fact, no hardware on the market today can run the full GPT-4.
  
  
• Adopting IEC 62443 standards for infrastructure cybersecurity (Nov. 02, 2023)
  This article explores the foundational reasoning and benefits of the IEC 62443 series of standards—a set of protocols designed to ensure cybersecurity resilience and protect critical infrastructures and digital factories.
  
  
• Writing a modular Audio Post Processing DSP algorithm (Oct. 30, 2023)
  The objective of this paper is to provide a high-level process of designing and implementing an Audio Algorithm, specifically written for Soc’s multi-core, low-power audio processing DSP processors. These algorithms can be optimized for a specific DSP processor and offload its processing on the DSP to lower the power consumption of a SoC.
  
  
• Exploring Machine Learning testing and its tools and frameworks (Oct. 19, 2023)
  Developing an ML model is not a one-time process. It requires continuous improvement to ensure reliable and accurate predictions. This is where ML testing plays a critical role as we are seeing massive growth in the global artificial intelligence and machine learning market.
  
  
• Will Generative AI Help or Harm Embedded Software Developers? (Oct. 05, 2023)
  This year’s boom in generative artificial intelligence has made embedded software developers reimagine what AI can do.
  
  
• Artificial Intelligence (AI) utilizing deep learning techniques to enhance ADAS (Sep. 28, 2023)
  Artificial Intelligence and machine learning has significantly revolutionized the Advanced Driver Assistance System (ADAS), by utilizing the strength of deep learning techniques. ADAS relies heavily on deep learning to analyze and interpret large amounts of data obtained from a wide range of sensors.
  
  
• A comprehensive approach to enhancing IoT Security with Artificial Intelligence (Sep. 21, 2023)
  In today's interconnected society, the Internet of Things (IoT) has seamlessly integrated itself into our daily lives. From smart homes to industrial automation, the number of IoT devices continues to grow exponentially. However, along with these advancements comes the need for robust security measures to protect the sensitive data flowing through these interconnected devices.
  
  
• Audio Validation in Multimedia Systems and its Parameters (Sep. 11, 2023)
  In the massive world of multimedia, sound stands as a vital component that adds depth to the overall encounter. Whether it's streaming services, video games, or virtual reality, sound holds a crucial role in crafting immersive and captivating content.
  
  
• The rise of FPGA technology in High-Performance Computing (Aug. 09, 2023)
  In recent years, Field Programmable Gate Arrays (FPGAs) have emerged as a viable technology for High-Performance Computing (HPC), thanks to their customizability, parallel processing, and low latency.
  
  
• Boosting Model Interoperability and Efficiency with the ONNX framework (Aug. 03, 2023)
  The rapid growth of artificial intelligence and machine learning has led to the development of numerous deep learning frameworks. Each framework has its strengths and weaknesses, making it challenging to deploy models across different platforms.
  
  
• Revolutionizing Consumer Electronics with the power of AI Integration (Jul. 20, 2023)
  In recent years, the rapid advancement of technology has revolutionized various industries, and the consumer electronics sector is no exception. One of the most prominent and influential technologies is Artificial Intelligence (AI) and Machine Learning (ML) development. AI-powered technology, driven by machine learning advancements, has a profound impact on consumer electronics, transforming our interaction with consumer devices/ products.
  
  
• QA Automation Testing with Container and Jenkins CICD (Jun. 26, 2023)
  QA automation faces an issue when configuring Jenkins to execute automated testing within Docker containers and retrieve the results. The best approach for automating the testing procedure in CI/CD will be explored in this article ahead.
  
  
• Role of Embedded Systems and its future in Industrial Automation (Jun. 20, 2023)
  Embedded systems have become increasingly important in today's world of automation. Particularly in the field of industrial automation, embedded systems play an important role in speeding up production and controlling factory systems
  
  
• How AI (Artificial Intelligence) Is Transforming the Aerospace Industry (May. 29, 2023)
  AI is used to assist customers at the airport which is helping the companies reduce their operational and labor costs. Also, by using AI technologies, airline companies can resolve the issues of their passengers using chatbots by providing them with correct information.
  
  
• Understanding the Deployment of Deep Learning algorithms on Embedded Platforms (May. 24, 2023)
  Embedded platforms have become an integral part of our daily lives, revolutionizing our technological interaction. These platforms, equipped with deep learning algorithms, have opened a world of possibilities, enabling smart devices, autonomous systems, and intelligent applications.
  
  
• An Industrial Overview of Open Standards for Embedded Vision and Inferencing (May. 08, 2023)
  Embedded Vision and Inferencing are two critical technologies for many modern devices such as drones, autonomous cars, industrial robots, etc. Embedded vision uses computer vision to process images, video, and other visual data, while inferencing is the process of making decisions based on collected data without having to explicitly program each decision step with the help of diverse architectures and platforms including multi-core ARM, DSP, GPUs, and FPGAs to provide a comprehensive foundation for developing multimedia systems.
  
  
• Applications And Operations of Video Analytics (Apr. 17, 2023)
  Discover video analytics solutions for automotive, retail, sports, media & more with Softnautics. Explore the applications and opportunities of video analytics.
  
  
• IoT Security: Exploring Risks and Countermeasures Across Industries (Mar. 13, 2023)
  This blog aims to investigate the impact of IoT security on various domains, from personal devices to critical infrastructure, and analyze potential measures to mitigate the associated risks.
  
  
• An overview of Machine Learning pipeline and its importance (Mar. 06, 2023)
  A machine learning pipeline entirely automates a machine learning task's workflow, thus simplifying each stage. Softnautics helps businesses design AI/ML solutions with automated ML pipelines.
  
  
• Emerging Trends and Challenges in Embedded System Design (Jan. 16, 2023)
  The outcomes of embedded systems are application-oriented and advance development areas in focus, embedded systems and devices will gain more popularity in the coming future while considering various business sectors and their applications.