Back to home
Technology

Edge AI Is Starting To Transform Industrial IoT

Source

SemiEngineering

Published

TL;DR

AI Generated

Edge AI is revolutionizing the Industrial Internet of Things (IIoT) by leveraging multi-modal sensors to generate actionable insights, especially when integrated with legacy equipment. The shift towards AI-enabled IIoT is driven by the concept of Industrial 4.0, focusing on digitalization, connectivity, and analytics in manufacturing processes. Edge AI embedded in industrial IoT devices brings intelligence directly into hardware, enabling real-time, autonomous decision-making. The convergence of multi-modal sensor fusion and edge AI is propelling robotics and automation towards cognitive, adaptable systems. Additionally, wireless technologies are playing a crucial role in IIoT, offering a combination of wired and wireless devices for software updates and data transmission in industrial applications.

Read Full Article

Similar Articles

This AI Can Beat You At Rock-Paper-Scissors

This AI Can Beat You At Rock-Paper-Scissors

TDK Corp. has developed an analog reservoir computing chip that excels at predicting the next step in a time series with speed and efficiency. This chip, based on reservoir computing technology, is adept at tasks like beating humans in games such as Rock-Paper-Scissors. The chip's capabilities stem from its low power consumption and rapid predictive abilities, making it a promising advancement in the field of edge AI and neural networks.

IEEE Spectrum
MIT Technology Review

Scaling innovation in manufacturing with AI

AI integration in manufacturing is revolutionizing factory operations, enabling proactive optimization through technologies like digital twins, the cloud, edge computing, and IIoT. Digital twins provide real-time visualization of production lines, allowing for detailed simulation and optimization. AI deployment in manufacturing is increasing, with larger manufacturers leading the way in implementing AI use cases to improve efficiency and reduce downtime. The industry's abundance of data makes it a prime candidate for AI adoption, positioning manufacturing to lead in digital technology and AI innovation.

MIT Technology Review
Modular AGX Orin Carrier Board Speeds Prototyping

Modular AGX Orin Carrier Board Speeds Prototyping

Diamond Systems' Osbourne carrier board is designed to host NVIDIA's AGX Orin AI module, providing AI capabilities at the edge. The Osbourne carrier board is a pair of boards that connect with the AGX Orin module, offering a range of interfaces for prototyping and production environments. The carrier board supports various interfaces like USB ports, Ethernet ports, camera interfaces, audio I/O, and more. The AGX Orin module features a powerful GPU, Tensor Cores, and Arm Cortex-A78AE processor for high AI performance. The Osbourne carrier board streamlines prototyping and development for rugged hardware applications.

ElectronicDesign
Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu, a key figure at TSMC, focuses on design-technology co-optimization, packaging innovations, and AI-driven methodologies for next-gen semiconductor systems. TSMC emphasizes DTCO and DDCL innovations for scaling from N5 to A14 nodes, with NanoFlex and NanoFlex Pro architectures offering efficiency gains. N2P and N2U nodes incorporate advanced DTCO and power delivery optimizations, with hybrid dual-rail architectures achieving significant energy savings. TSMC collaborates with EDA partners for AI integration, enhancing productivity and design quality. Advanced packaging technologies like CoWoS and SoIC play a crucial role in enabling AI scaling, with memory bandwidth and interconnect performance scaling aggressively. TSMC addresses power delivery and thermal management challenges in AI systems through advanced solutions. TSMC's advancements in design methodologies and AI-driven automation promise improved productivity and scalability in chip-package co-design.

SemiWiki

We use cookies

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.