Tool Enables MCU-Based Neural Nets, Firms Team Up for Automated Driving Solution, TRACE32 Supports Arm Cortex-M and a Raffle for Free Stuff!
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| Tool Extension Enables Neural Networking on STM32 Microcontrollers STMicroelectronics has extended its STM32CubeMX ecosystem by adding advanced Artificial Intelligence (AI) features. AI uses trained artificial neural networks to classify data signals from motion and vibration sensors, environmental sensors, microphones and image sensors, more quickly and efficiently than conventional handcrafted signal processing. With STM32Cube.AI, developers can now convert pre-trained neural networks into C-code that calls functions in optimized libraries that can run on STM32 MCUs. STM32Cube.AI comes with ready-to-use software function packs that include example code for human activity recognition and audio scene classification. These code examples are immediately usable with the ST SensorTile reference board and the ST BLE Sensor mobile app. Additional support such as engineering services is available for developers through qualified partners inside the ST Partner Program and the AI and Machine Learning (ML) STM32 online community. ST will demonstrate applications developed using STM32Cube.AI running on STM32 MCUs this week in a private suite at CES, the Consumer Electronics Show, in Las Vegas, January 8-12. CONTINUE READING IIoT Evolution: An Approach To Reuse and Scale Your IIoT Technology Investment This white paper introduces an IoT framework that complements and extends the massive investments made by cloud vendors to provide comprehensive IIoT features that can be implemented down to the hardware of the edge or end node devices---and can be ported across platforms and clouds. The benefits of using a framework such as MEIF are abundantly clear: minimize learning curves, simplify implementations, increase code reuse, reduce porting costs and reduce testing. GET THE FREE WHITE PAPER Tool Revision Adds Arm Cortex-M Trace and Debug Support Lauterbach has announced a new revision of their debug and trace probes for Cortex-M based devices. As Cortex-M processors are becoming clocked at greater and greater frequencies, the trace port clocks must also increase to keep pace and prevent loss of valuable data. To provide developers with a more future-proof solution to this perpetual cycle of increasing frequency, the new High-Speed Whisker cables are designed to work with trace clock frequencies of up to 200 MHz across trace ports ranging from 1-bit to 4-bits wide, giving a total trace port bandwidth of up to 200 MB/s. With increased trace clock speeds comes an increased risk of signal misalignment when parallel trace pins are sampled. The High-Speed Whisker cable includes the innovative auto-focus technology that not only detects the trace port clock frequency but can also adjust the optimum sampling points of each pin to negate any alignment issues in the timing of the data signals. The points where each signal contains valid data, or data eyes, for each pin can be displayed in the TRACE32 PowerView software. CONTINUE READING | Current Issue SEE INSIDE Subscriber Login Learn More About Circuit Cellar Sample Issue Editorial Calendar Shop Archive Magazine Issues Books Subscribe Advertise We can get your message out to the professional engineering community. Contact Hugh Heinsohn today at Hugh@circuitcellar.com! Stay Connected |
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New Certified Service Regulates V2X-Connected Vehicles INTEGRITY Security Services (ISS), a subsidiary of Green Hills Software, has announced the ISS Misbehavior Authority Service (MAS), which is the first MA Service for the US V2X ecosystem. The ISS MAS will begin by serving the US Department of Transportation's Connected Vehicle Pilots already subscribing to the ISS Certificate Management Service (CMS) and all other ISS CMS Subscribers. As the de facto US national SCMS Manager, ISS continues to ensure the US V2X ecosystem is secure and interoperable, according to ISS. With the ISS MAS, CV-Pilots and ISS CMS Subscribers will be able to begin identifying vehicles for misbehavior and removing them from their networks. Device manufacturers and all ISS CMS Subscribers should contact ISS by registering to discuss how to get their devices ISS CMS-certified, enabled with the ISS-approved MAS OBU client and begin testing. Developers who are are running a DSRC and/or C-V2X AV or CV-Pilot and have potential misbehavior data they want analyzed can register with the service. CONTINUE READING |
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