
AI and Machine Learning MCUs and Processors | NXP ... - NXP …
NXP offers a comprehensive portfolio of MCUs and processors optimized for machine learning applications in automotive, smart industrial and IoT industries. Our software development tools enable machine learning, including toolkits for deep learning to achieve higher accuracy for safety-critical automotive applications.
人工智能和机器学习MCU与处理器 | NXP 半导体
基于ml的设备(例如门锁、恒温器和照明灯)可根据用户的喜好和实时数据做出自主决策,以提高功能安全、便利性和信息安全。 了解详情 智能家电
AI and Machine Learning Training Academy | NXP Semiconductors
2024年9月10日 · Making edge intelligence a reality shouldn't be difficult. With embedded devices and eIQ ® Machine Learning (ML) software enablement from NXP, you can build your next intelligent application for the IoT edge. Want to learn more?
eIQ® AI Software Development Environment | NXP Semiconductors
The NXP® eIQ® artificial intelligence (AI) software development environment enables the use of ML algorithms on NXP EdgeVerse™ microcontrollers and microprocessors, including i.MX RT crossover MCUs, and i.MX family application processors. eIQ AI software includes a ML workflow tool called eIQ Toolkit, along with inference engines, neural …
MCXN947: How to Train and Deploy Customer ML model to NPU
2024年7月7日 · The eIQ Neutron Neural Processing Unit (NPU) is a highly scalable accelerator core architecture that provides machine learning (ML) acceleration. Compared to traditional MCUs like the Kinetis series and LPC series, the MCX N series marks the first integration of NXP's eIQ® Neutron NPU for ML acceleration.
Machine Learning Goes Mainstream - NXP’s eIQ® ML Software …
2021年7月6日 · Introduced in 2018, eIQ ML software has evolved to support system-level application and ML algorithm enablement targeting NXP’s i.MX Series, from low-power i.MX RT crossover microcontrollers (MCUs) to multicore i.MX 8 and i.MX 8M applications processors based on Arm ® Cortex ®-M and Cortex ®-A cores.
eIQ ® 汽车级机器学习软件开发环境 - NXP
eIQ ® Auto机器学习(ML)工具包 样品阶段 全面的框架,可在S32汽车MCU/MPU中优化和部署机器学习 丰富的优化工具和Model Zoo模型库
How to get started with NPU and ML in MCX Microcontrollers
The integrated NPU delivers up to 40x faster machine learning (ML) throughput compared to a CPU core, enabling it to spend less time awake and reducing overall power consumption. The architecture provides power and performance-optimized NPUs integrated with NXP's very wide portfolio of microcontrollers and applications processors.
Implement Your AI/ML Application at the Edge with NXP eIQ™ …
2019年10月14日 · The NXP® eIQ™ machine learning software development environment enables the use of ML algorithms on NXP microcontrollers and microprocessors. eIQ software includes inference engines, neural network compilers and optimized libraries.
Scaling ML Processing with External AI Accelerators
2022年10月28日 · Combining the native ML processing capabilities of NXP’s i.MX applications processors with dedicated ML accelerators from NXP ecosystem partners such as Kinara, creates an even larger scalability range than that offered by …
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