Network Optix’s Post

An interesting read - since its conception, the digital twin has evolved to allow greater optimisation, but not without its faults. "Even with the growth of data storage and computer capability, there are still significant challenges associated with data", along with computing resources issues and the talent shortage affecting all areas of the industry. Future concepts aim to leverage advances in AI and IoT systems, which would lead to a much greater level of autonomous decision-making. #ai #digitaltwins

The key to staying ahead of the competition? 🌐✨Develop services and products that harness the enormous potential of #AI and #embeddedsystems. Simpler, more efficient, more secure: #DataDrivenDevelopment makes it possible to design products that are tailored to the needs and preferences of customers, from the initial idea to series production. The challenge: to generate data using sensors AND to gain intelligent insights based on this data using machine learning. 🚀 💻✨ Let us help you tap the enormous potential of these added capabilities during development and throughout the product’s lifecycle. Discover how data-driven development and AI can be the catalyst for your product vision! 👉 https://fcld.ly/uujbcj4 #DataDrivenInnovation #productdevelopment #digitaltransformation #iot #ITKindustry #ITKengineering #ITK

Learn more about our #AI products for industries that automate #QualityInspection, enable #DataInsights, and support #PredictiveMaintenance. To simplify testing and deployment in client environments, we've partnered with Sunlight.io, offering select products through their Application Library! https://lnkd.in/d8WYneXR #Manufacturing #Automotive #PaperIndustry #Energy #Retail #IOT #AI #ArtificialIntelligence #Automation #Industry #Industry4.0

advancement of digital twin technology faces several challenges, particularly in data management and integration, computing resource demands, and adapting emerging technologies like AI, IoT, and edge computing into the digital twin ecosystem. These technical challenges are compounded by a shortage of skilled engineers with domain and AI expertise. AI plays a crucial role in the future of digital twins, moving towards more advanced and transparent systems that combine physical and data-driven models. The development of hybrid digital twins, which blend physics-based and sensor data-driven models, promises greater accuracy and real-world applicability. The future architectures of digital twins, proposed in this articel, include self-generating digital twins, hierarchies of digital twins for complex systems management, and meshed networks of digital twins for interconnected systems optimisation. These advancements are dependent on continued innovation in sensor technology, AI, and data security, moving towards the realisation of ambient intelligence across various domains.

🚀 #EmbeddedNews Introducing Arm's Ethos-U85 NPU! As #AI makes its mark in our lives, the shift from cloud-based to edge and endpoint inferencing is gaining momentum. Edge-based inferencing empowers IoT devices with local data processing and real-time decision-making, enhancing data privacy and security. 🔹 Arm's Ethos NPUs: Ethos-U55 and Ethos-U65 NPUs from Arm have been pivotal in supporting edge AI workloads. These energy-efficient accelerators provide high performance for AI applications at the edge and endpoints. 🔹 Ethos-U85 NPU: Enter Ethos-U85, Arm's newest NPU offering. With 4x performance and 20% higher power efficiency than its predecessor, Ethos-U85 enables high-performance AI inference at the edge. 🔹 Key Features: Ethos-U85 boasts configurations from 128 to 2048 MACs/cycle, support for int8 weights and activations, and native hardware support for transformer networks. Its elementwise operator chaining and efficient architecture promise accelerated AI inferencing. 🔹 Versatile Integration: Ethos-U85 seamlessly integrates with existing systems, supporting the #TFLmicro runtime and upcoming ExecuTorch for PyTorch. Arm's IoT Reference Design Platform, Corstone-320, positions Ethos-U85 at the forefront of edge AI innovation. 🌟 Unleashing AI at the Edge: With Ethos-U85, Arm continues to drive AI innovation at the edge, enabling partners to harness cutting-edge AI capabilities for diverse use cases. From smart homes to industrial settings, Ethos-U85 sets a new standard for edge AI performance. Ready to explore the future of AI at the edge? Learn more about Arm's Ethos-U85 here: https://lnkd.in/d4a3yYrp #Embedded #ARM #NPU

📢 Embracing Industry 4.0, AI-PROFICIENT is leading the charge in innovation. Our latest blog post explores Deliverable D2.6, 'Smart Components and Local AI at System Edge,' authored by experts Aitor Arnaiz (TEK), Kerman Lopez de Calle (TEK), Alexandre Voisin (UL), and Vassilis Spais (INOS). In the dynamic landscape of #industry40, we're reimagining the role of AI by integrating local #AI technologies at the system's edge. While many AI solutions operate at the #cloud level, we're bringing AI closer to the heart of production lines. How? By tapping into the wealth of #data provided by Micro-Electromechanical Systems (MEMS) and Programmable Logic Controllers (PLCs).

As manufacturing technologies continue to grow with additive manufacturing, IoT digitization, automation, and robotics, #GenerativeAI is now starting to accelerate and add value to this critical industry.  This is part of the Industry 4.0 premise of revamping the design and development of products that are sustainable and good for the environment and our society. Just last week, Microsoft expanded its AI Co-Pilot capabilities by partnering with Industry 4.0 leaders like Rockwell Automation and Siemens. The circular economy, energy efficiency, and environmental responsibility are key areas to be addressed. It is a great moment to continue learning and leveraging AI for our better future!" #circulareconomy #energyefficiency #goodbusiness #environment https://lnkd.in/eMduDRRa

Lost in translation? At Spinview we’re all about the democratisation of data – turning your space or building’s information into intelligence and insights, using visual cues and an easy-to-understand platform to help translate technical complexity into human comprehension. For everyone. We speak human to human. And so, this month’s news about Siemens and Microsoft up to make life easier for customers using IoT technology is welcome. By merging two important languages, they're ensuring that different systems work together seamlessly.    For people using digital twins in the built environment, this collaboration between Siemens and Microsoft should mean a smoother and more seamless experience. It simplifies the integration of different systems and vendors, reducing complexity and hassle. Ultimately, it means you and your team can focus more on leveraging digital twins to improve efficiency and effectiveness in managing buildings and infrastructure, without getting bogged down in technical challenges. Want to learn more about how a digital twin could help you understand the ‘language’ of your space? Get in touch. #DigitalTwins #DTDL

The latest update for #InfluxDB includes "Predictive #Analytics Pipelines: Real-World #AI, Predictive Maintenance, and Time Series Data" and "Unified Namespace and InfluxDB: Streamlining IIoT Operations for Industry 4". #monitoring #devops #timeseries https://lnkd.in/dchWaMp