Master security architecture in medical device development. Learn about MedTech regulatory compliance and cybersecurity strategies from Embien Technologies.

Article discusses how AI-Aware EDA tools are reshaping Semiconductor Time-to-Market including Key Features & Advantages of some electronic design automation tools.

This article explores how the Next Decade of Digital Twins will look from Reflection to Agency, Autonomous Industrial Systems, Twin-of-Twins, Agentic AI etc.

An insight article about Preparing for RISC-V based designs by overcoming Development Ecosystem Gaps that may occur during semiconductor and system design.

This article outlines some of the Proven Approaches to Building Scalable Digital Twins including a 12 week Implementation Roadmap for a Minimum Viable Twin.

This article discusses Protecting Digital Twins from Cyber Threats by using mechanism like Security by Design, Secure Boot, Post-Quantum Cryptography etc.

Insights in different ways of realizing Visualization for Digital Twins like AR/VR in Industry, Embedded GUI Development and robust HMI Design Services.

This article discusses how Late Verification in Defence Embedded Systems is an expensive mistake, and solutions such as Shift-Left Testing and Model-Based Verification.

This article explores the technical reality of Medical Device Twins in IoMT development and how Digital Twins in healthcare bridge physical assets with digital intelligence.

An insight into Fleet Management Digital Twin, concepts and how the Automotive Digital Twin can increase efficiency via Predictive Maintenance for Fleets.

An insight into using Automotive Digital Twins for Software-Defined Vehicle (SDV) development, including BMS simulation, HIL testing, and OTA update validation strategies.

This article explores the evolution of semiconductors, capturing key trends like chiplets, the adoption of RISC-V, heterogeneous computing, and their impact on embedded system design.

Discover and leverage Industrial Digital Twins for Smart Factory Solutions, Predictive Maintenance, and Virtual Commissioning to turn unplanned downtime into a myth.

A deep dive into the IoT Technology Stack Behind a Robust Digital Twin starting from the Edge Computing for Digital Twins, Physics-informed neural networks etc.

The article on rise of Next-Gen Human-Machine Interfaces discusses how the New Era of Intuitive Experiences dawns up on us with sensor and AI advancements.

This article explains the 5 Levels of Digital Twin Sophistication - Descriptive, Informative, Predictive, Comprehensive and Autonomous Digital Twins

The article on the rise of Digital Twins in product design explains the Digital Twin technology, highlights key use cases, and shows how Embien can help with it.

This article explores unlocking true ROI with Digital Twin technology by moving beyond the hype to engineering reality and leveraging a strong IIoT strategy that drives effective Digital Twin ROI.

This article on Smart Vision for Smarter Embedded Systems discusses about recent hardware & software advancements in Edge AI Vision and its applications.

This article explores how 5G, 6G, and beyond are empowering connected ecosystems, discusses the advantages of 5G, examines the potential of 6G, and speculates on the future.

This article discusses about Software-Defined Vehicles and how Embedded Engineers are Shaping e-Mobility trends like OTA updates, zonal architecture etc.

This article discusses the Global Move Toward Cybersecurity Resilience in IoT Systems covering recent threats, regulatory mandates and design guidelines.

This article introduces Industry 5.0, discusses difference from earlier technologies, advantages and key challenges in realizing Industry 5.0 and solutions.

This article dives into our take on Future of Embedded AI Systems about how things will evolve in the short term like Quantum computing, advanced algorithms, 5G connectivity etc.

Article discussing Challenges in Developing Embedded AI Systems such as Lack of Scalability, Expertise Shortage, Lack of Standards, Rapid Obsolescence etc.

Article discusses considerations for Embedded AI Hardware Selection including Computing Elements, Memory Sizing for Embedded AI Models and Power Management

Insights into Model Quantization in Edge AI for Enhanced Performance covering the need, Different Types and Quantization Strategies for Embedded AI

With the need for Model Pruning in Edge AI Systems for Optimal Performance, we discuss Types of Pruning, Pruning Strategies for Edge AI and Considerations

This article on Considerations for Adopting AI/ML Models in Embedded Systems covers Model Design and Optimization, Size Reduction, Latency Reduction etc.

Article about embedded AI frameworks, exploring their need, and major frameworks like TinyML, TensorFlow Lite, PyTorch Mobile, Core ML, NVIDIA JetPack etc.

This article discusses Overcoming Embedded AI System Challenges by Embracing Open Architecture, Leveraging Cloud and Distributed AI, Bridging the Skill Gap etc

Exploring Embedded Deep Learning Algorithms such as Convolutional Neural Networks (CNNs), RNNs, Long Short-Term Memory (LSTMs) and Transformers

Article discusses how our existing cryptographic locks could be picked in a matter of seconds by quantum computers and Need for Post-Quantum Cryptography.

This article explores key ML algorithms, evaluates their suitability, discussing its mechanics, computational demands, & adaptations for constrained devices.

An article about Understanding How AI Systems Learn covering Supervised Learning, Unsupervised Learning, & Reinforcement Learning with edge AI use cases.

This article provides a high-level overview of some of the popular embedded AI compute architectures in use today covering thier features, and applications.

A Deep dive into Edge AI System Computing Elements cover the internal architecture, Advantages & limitations of CPU, GPU and AI Accelerators in AI Systems.

Second of two-part article on comparing Embedded System and Edge AI system Architectures, explores the Hardware and Software Architecture of Edge AI System.

First of two-part article on comparing Embedded System and Edge AI system Architectures, explores the Hardware and Software Architecture of Embedded System.

A journey through the Evolution of Edge AI Systems capturing Evolution of AI Algorithms and Evolution of Edge Computing, leading to convergence edge AI age.

Embark on a journey to unravel the intricacies of Edge AI, exploring its definition, advantages, necessity of Edge AI Systems, and real-world applications.

Introduction to three Deployment models of AI Systems - Cloud AI, Edge AI and Hybrid AI, comparison and some factors to choose the right Deployment Model.

This article on Application of AI Systems briefly covers use cases like Industrial Automation, Autonomous Vehicles, Healthcare, Finance and Banking etc.

This article outlines different ways for Realization of AI Systems like Search-Based AI, Logical Reasoning, Probabilistic Modeling Systems, ANNs, GPTs etc.

This article covers the Classification of Artificial Intelligence Systems including Expert Systems, Robotics, NLP, Computer Vision, Machine Learning etc.

FlexRay communication employs a highly defined FlexRay frame format and encoding that helps achieve reliable real time communication on the FlexRay network

This article covers introduces the popular FlexRay protocol covering the FlexRay basics and physical layer of the FlexRay data bus and Network Topologies

A guide to Controller Area Network covering CAN Physical Layer (PMA & PMD), CAN Data Link Layer, OSI Model mapping, Advantages and Applications of CAN Bus

A deep dive into the CAN Bus Communication covering CAN Frame Types, Bit Stuffing, Data Throughput in CAN Bus and evolution to support higher data rates