Significant upgrades have been rolled out to Microchip Technology’s VectorBlox Accelerator software development kit (SDK) for convolutional neural network (CNN)-based artificial intelligence/machine learning (AI/ML) inference with PolarFire FPGAs. Along with the recent release of version 1.3 comes 19 new tutorials, bringing the total to 37. These include licence plate recognition in TensorFlow, MobileNet v1 and v2 in TensorFlow and TensorFlow2, various ResNet and SqueezeNet models in ONNX, torchvision ResNet in PyTorch and TinyYoloV4 in TensorFlow.
Network sizes have been reduced by 50% by optimising containers for weights and the built-in bit accuracy simulator’s speed has been tripled compared to version 1.2. Other dependencies that have been upgraded in the SDK include OpenVINO version 2021.4.1 and Python version 4.5.5.62. Microchip also upgraded the Libero software example project and programming file to support Libero software version 2021.2 and hot-swappable camera and HDMI inputs.
The company also added a new application notes section in GitHub that covers the following topics:
• Training custom Yolo V2/V3 networks via DarkNet.
• Running custom Yolo V2/V3 networks.
• Inspecting and converting TensorFlow 2 models.
• Face recognition: summary of the demo design.
• Face recognition: changing the faces database to identify other faces.
Powered by VectorBlox Accelerator SDK version 1.3, PolarFire FPGAs offer two to three times more power-efficient inference in mid-range FPGAs. This enables ML inference in applications that are thermally constrained and operates on battery power in environments that are susceptible to single-event upsets such as those experienced in low-orbit aerospace.
RF agile transceiver Altron Arrow
Telecoms, Datacoms, Wireless, IoT
The AD9361 from Analog Devices is a high performance, highly integrated RF Agile Transceiver designed for use in 3G and 4G base station applications.
Read more...STM32CubeIDE for Visual Studio Code
Design Automation
STM32CubeIDE has moved from prerelease to official release marking a milestone in the deployment of STM32CubeIDE for Visual Studio Code.
Read more...Ultra-low-power Arm Cortex MCU with FPU Altron Arrow
DSP, Micros & Memory
STMicroelectronics expanded its STM32 ultra-low-power family with the launch of the STM32U3 for cost-sensitive applications in industrial, medical, and consumer electronics devices.
Read more...Powering the future of embedded control Altron Arrow
Editor's Choice DSP, Micros & Memory
As the demand for intelligent, connected, and energy-efficient systems grows, embedded engineers are under pressure to design faster, smarter, and more secure products
Read more...Smart IMU for high/low-g acceleration Altron Arrow
Analogue, Mixed Signal, LSI
The ISM6HG256X is a 6-axis intelligent inertial measurement unit that enables smart motion sensing, edge computing, and real-time awareness.
Read more...Siemens’ software selected for verification and validation ASIC Design Services
Design Automation
Siemens Digital Industries Software recently announced that Veloce Strato CS and Veloce proFPGA CS have been deployed at Arm, a longtime user of Veloce, as part of its design flow for Arm Neoverse Compute Subsystems.
Read more...Converter power modules for 48 V networks Altron Arrow
Power Electronics / Power Management
The economic and quality-of-life benefits of electrification is driving the adoption of HV to 48 V DC-DC conversion across many markets with 48 V power modules becoming more common.
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.
printer friendly version