Embedkari is aimed to provide low cost technical education and solution for Embedded Systems. Our main focus will be to create a foundation for Industrial Automation, IoT, Machine Learning and Artificial Intelligence. We also encourage younger generation towards latest technology.
This includes important topics related to latest RISC-V architecture, ARM architecture, Embedded Linux, QEMU, Python,Jupyter Notebook etc and simple experiments with popular platforms Arduino, Node MCU(ESP8266) , RaspBerry Pi , NxP i.MX RT1050 etc
If you are new to Embedded System , Have a look at Embedded Career
An activity summary is available at README
Free training videos are available at Embedkari @Youtube
There are Low Cost training packages with password protection. This is described at Low Cost Training Options.
Most importantly , all these topics are worth if these can add some value for better career opportunities. We regularly update Embedded Career related information at Facebook page Embedkari
CPU Performance Challenges , Parallel Computing and Computer Vision
This particular post is aimed to make some background related to Deep Learning in edge computing, Computer Vision, AI etc.
ARM – Advanced RISC Machines
This explains various concepts used in ARM architecture. It includes ARM ISA, ARM family, ARM Core, ARM Profile, ARM device
Programming with ARM @Cortex-M4 based STM32 Nucleo
This provides information related to ARM Cortex-M4 features , Modes, Registers etc. I have discussed importance of multiple stack pointers
ARM Instruction Set Classification
This article discuss various ARM instruction sets including ARM, Thumb, Thumb-2 and latest nomenclature T32, A32, A64. It also discuss
ARM Peripheral Drivers@STM32
This article discuss the software options available for ARM based micro-controllers. The ecosystem by different silicon vendors consists of Software