Advancing Connectivity at the Industrial IoT Edge

EE Times Current · 18 Feb 2022 · 50m

What this episode covers

Renesas Executive Vice President Sailesh Chittipeddi explains how industrial IoT applications are driving intelligence to the edge through low-latency connectivity like Wi-Fi 6E and sustainability-focused sensor networks. He details Renesas' Forge FPGA solution for parallel sensor processing and the integration of edge AI for defect detection. In the second segment, Tirias Research analysts Keven Krewell and Steve Leibson discuss how Intel Foundry Services' backing of RISC-V and NVIDIA's failed acquisition of Arm are reshaping the semiconductor landscape, empowering RISC-V as a viable competitor to x86 and Arm in data centers and embedded systems.

Mentioned

Companies
Renesas, Intel Foundry Services, NVIDIA, Arm, Tirias Research, SoftBank, Esperanto, Andy's, Vantage, Imagination Technologies, Xilinx, AMD
Products
Forge FPGA
Also
Sailesh Chittipeddi, Wi-Fi 6E, RISC-V, Keven Krewell, Steve Leibson, MIPS

Other shows on the same ground, closest first.

  • IoT For All Podcast · 30m

    Foghorn's Ramya Ravichandar | Ensuring Value with Edge AI in IIoT Applications

    Ramya Ravichandar, VP of Products at Foghorn, explains how the company uses edge AI to deliver real-time value in industrial and commercial IoT deployments. She details Foghorn's evolution from edge analytics to machine learning, highlighting use cases like defect detection at Stanley Black & Decker and workplace safety monitoring. Ravichandar argues that 'proof of value' is critical for scaling IoT projects, as edge computing enables low-latency responses and reduces bandwidth constraints compared to cloud-only architectures. She also discusses the complementary relationship between cloud-based model training and edge-based inference, and Foghorn's new 'Lightning' solutions for rapid deployment.

  • The Circuit · 31m

    Episode 14: The Wide World of Sensors

    Ben Bajarin and Jay Goldberg discuss the resurgence of the sensor market, driven by the transition from analog to digital and the falling costs of semiconductor manufacturing. They highlight how companies like Texas Instruments, NXP, and STMicroelectronics are leveraging legacy analog capacity and RISC-V architectures to create high-performance, low-cost sensors. The hosts argue that advances in AI and software analytics have finally made the value of this data clear, turning sensors from commodities into strategic assets for industrial IoT and automotive applications.

  • Over the Air · 39m

    Embedded Systems and IoT Connectivity: Lessons from Automate 2024

    Ryan Prosser, CEO of Very Technology, reports from Automate 2024, interviewing leaders from Machine Metrics, Unit X, Sensory Robotics, On Logic, Light Guide, Elementary, Snowbottics, Acme Manufacturing, Happily, Kongitech, MyTech, Lincode, Wheel Me, and Orbit 3D. The conversation covers AI-driven vision platforms, robotic safety sensors, rugged edge computing, and autonomous mobile robots, highlighting the shift toward edge AI and human-centric automation. Key technical discussions include point cloud generation for safety, modular industrial PCs, and AI-based defect detection for high-speed manufacturing lines.

  • Over the Air · 46m

    Live Insights from Sensors Converge: IoT Innovations with Industry Leaders

    Ryan Prosser and Daniel Fudge of Very interview industry leaders at Sensors Converge 2024, including Andy from Embedded Works, TC from Ossia, Kelvin Finley from Control by Webb, Dan Steeler from Power Film, Eric from Zapata AI, Joey from Helium, Seth from Sivo, Burke from IO Intelligence, Luke and Marley from Santa Clara IoT Lab, and representatives from Minibay Mitsumi. They discuss advancements in sensor technology, wireless power, edge AI, and IoT controllers, highlighting specific products like Ossia’s RF power, Zapata’s virtual sensors for IndyCar, and Sivo’s spatial audio head tracking. The conversation covers the shift toward edge computing, low-power sensor integration, and the challenges of building scalable, privacy-preserving IoT systems.

  • Moore's Lobby · 53m

    AI or 5G? EdgeQ Asks, "Why Not Both?" While Building a Wireless Base Station-on-a-Chip

    Adil Kidwai, VP and Head of Product Management at EdgeQ, explains how the company built a software-defined base station-on-a-chip that combines 5G and AI capabilities using RISC-V processors. He details the mathematical similarities between information theory and AI, allowing EdgeQ to offer customizable features like low latency or high bandwidth to reduce power consumption and cost compared to traditional multi-chip solutions. Kidwai also reflects on his career transition from Intel's wireless division to a startup environment, highlighting the challenges of scaling during the pandemic and the shift in cellular networks from human-centric to machine-centric communication.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by EE Times Current. The episode itself belongs to its publisher.