Embedded World 2023 Recap

EE Times Current · 18 Mar 2023 · 22m

What this episode covers

Nitin Dahad, Francoise Pelle, and Sally Ward Foxton of EE Times recap Embedded World 2023, highlighting the shift toward edge AI, tiny ML, and software-defined vehicles. They discuss specific implementations from companies like Renaissance, STMicroelectronics, and Silicon Labs, focusing on running AI models on Cortex-M85 and STM32 microcontrollers with low power consumption. The episode also covers security initiatives from Kudosip and Trust In Software, as well as neuromorphic computing demos from InnerTense and Brain Chip.

Mentioned

Companies
Renaissance, Qualcomm, Green Hills Software, LDRA, NXP, Useful Sensors, My Voice AI, Atmosic, Eclipse Foundation, GreenWaves Technologies, Silicon Labs, Kudosip, Trust In Software, Eurotech, STMicroelectronics, InnerTense, Brain Chip, Synaptics
Chips
Cortex-M85, RISC-V

Other shows on the same ground, closest first.

  • Embedded.fm · 1h 24m

    497: Everyone Likes Tiny

    Kwabena Agyeman, President and Co-Founder of OpenMV, discusses the launch of two new programmable camera systems, the OpenMV Cam N6 and the OpenMV AE3, via a Kickstarter campaign. He explains how integrating Neural Processing Units (NPUs) and Arm Helium SIMD instructions enables high-performance computer vision and edge AI on microcontrollers, achieving significant speedups while maintaining ultra-low power consumption. Agyeman details the software ecosystem, including MicroPython, TensorFlow Lite for Microcontrollers, and partnerships with Edge Impulse and Roboflow, which simplify model training and deployment for embedded developers.

  • Coredump Sessions · 58m

    #004: The Future of Edge AI and What it Means for Device Makers

    Alex Samuelson, CTO and co-founder of Imagimob, joins Memfault founders Francois Baldassari and Chris Coleman to discuss the practical implementation of Edge AI on embedded devices. They highlight how hardware accelerators like the Cortex-M55 and U55 have enabled GPU-like performance on microcontrollers, allowing for real-time inference in applications such as welding quality monitoring and fall detection. The conversation emphasizes that data collection, labeling, and memory constraints are the primary bottlenecks, requiring device makers to build data acquisition firmware early in the development process. Finally, they discuss the shift toward 'AI as a Service' business models, where hardware companies generate recurring revenue by updating models over the device's lifecycle.

  • Embedded.fm · 1h 24m

    477: One Thousand New Instructions

    Kwabena Agyeman, founder of OpenMV, explains how SIMD optimization and new Arm Cortex-M55 processors enable complex computer vision and machine learning on low-cost microcontrollers. He details specific algorithmic improvements, such as a 16x speedup in median filters, and discusses the shift from Linux-based systems like NVIDIA Jetson to tinyML for cost and power efficiency. Agyeman also shares his experience scaling OpenMV through the chip shortage and his previous career at Embark Trucks.

  • The Electromaker Show · 37m

    Arduino Ventuno Q, Nordic AI and More from Embedded World 2026

    Ian from Electromaker tours Embedded World 2026, highlighting the Arduino Ventuno Q, a Linux single-board computer paired with an STM32 microcontroller for edge AI, and Silicon Labs' Bluetooth channel sounding demo for secure keyless entry. He covers Nordic Semiconductor's in-house Neuton and Axon AI tools for edge inference, alongside their nRF9151 satellite connectivity and fuel gauge software. The episode also features D-Robotics' RDKS 100 robotics platform, Texas Instruments' humanoid robot reference designs, and Epishine's flexible indoor solar energy harvesting technology.

  • Hackaday Podcast · 52m

    Ep009: On the Edge of AI, Comment Your Code, Big Big Wheels, and Makers of Munich

    Hackaday editors Mike Szczys and Elliot Williams discuss new AI-on-the-edge hardware from BeagleBone and Google, the reverse engineering of a keytar firmware, and a critical analysis of Tesla's self-driving safety data. They also cover a custom smart lamp build, flexible PCB contests, and Elliot provides an audio tour of the Make Munich maker fair.

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.