stockduck
Regular
Some interesting components to read maybe?
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The four series in the MCX portfolio are designed for ease of use, to simplify migration and to scale up or down as needed with maximal software reuse to minimize development cost. The portfolio is based on high-performance Arm Cortex-M cores and integrates a comprehensive set of peripherals for design flexibility. MCX devices feature up to 4 MB of on-chip flash memory, low power cache and advanced memory management controllers, plus up to 1MB of on-chip SRAM to further enhance real-time performance of edge applications.
Machine learning and run-time inference will be supported by NXP’s eIQ® ML software development environment. Developers can utilize the easy-to-use tools offered by eIQ to train ML models targeting either the NPU or the CPU core and deploy them on the MCU. MCX families that are built following NXP’s security-by-design approach will offer secure boot with an immutable root-of-trust, hardware accelerated cryptography and, on select families, a built-in EdgeLock® secure subsystem.
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Any Idea?
Also some new development:
www.automotiveworld.com
"......Expected to be launched first in China from 2023, ProAI will be installed as a supercomputer in heavy-duty vehicles in China and the US to support autonomous driving.
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www.prnewswire.com
"...... The software supports across 14+ hardware platforms by Qualcomm, Texas Instruments, Renesas and other chipset makers and provides the network to run deep learning-based perception software on V3H, TDA4VM, SA8155 and CV22.
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NXP Debuts New MCX Portfolio of Microcontrollers for the Next Era of Advanced Industrial and IoT Edge Computing
NXP Semiconductors today announced the new MCX portfolio of microcontrollers, designed to advance innovation in smart homes, smart factories, smart cities and across many emerging industrial and IoT edge applications.
www.nxp.com
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- The Arm® Cortex®-M core-based MCX portfolio includes the high-performance MCX N series, cost-optimized and analog-focused MCX A series, low-power wireless connectivity MCX W series and ultra-low power MCX L series
- The new portfolio features the first instantiation of a specialized, NXP-designed machine learning accelerator to enable high performance inference at the edge ......"
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The four series in the MCX portfolio are designed for ease of use, to simplify migration and to scale up or down as needed with maximal software reuse to minimize development cost. The portfolio is based on high-performance Arm Cortex-M cores and integrates a comprehensive set of peripherals for design flexibility. MCX devices feature up to 4 MB of on-chip flash memory, low power cache and advanced memory management controllers, plus up to 1MB of on-chip SRAM to further enhance real-time performance of edge applications.
Machine learning and run-time inference will be supported by NXP’s eIQ® ML software development environment. Developers can utilize the easy-to-use tools offered by eIQ to train ML models targeting either the NPU or the CPU core and deploy them on the MCU. MCX families that are built following NXP’s security-by-design approach will offer secure boot with an immutable root-of-trust, hardware accelerated cryptography and, on select families, a built-in EdgeLock® secure subsystem.
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Any Idea?
Also some new development:
ZF announces major business wins: Electric drives and first ProAI supercomputer applications for CVs confirmed at IAA | Automotive World
ZF’s Commercial Vehicle Solutions division has achieved major new business wins for its technologies since its January 1 launch
www.automotiveworld.com
"......Expected to be launched first in China from 2023, ProAI will be installed as a supercomputer in heavy-duty vehicles in China and the US to support autonomous driving.
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ZF Group's Raj Vazirani Joins StradVision Board of Directors
/PRNewswire/ -- StradVision, an AI-based perception processing technology company for Autonomous Vehicles and ADAS, and technology company ZF Group (ZF) have...
"...... The software supports across 14+ hardware platforms by Qualcomm, Texas Instruments, Renesas and other chipset makers and provides the network to run deep learning-based perception software on V3H, TDA4VM, SA8155 and CV22.
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