IAR Systems supports new Arm technology for neural networks and artificial intelligence
Uppsala, Sweden—February 23, 2018—IAR Systems announces that the leading development toolchain IAR Embedded Workbench for Arm now supports Arm®’s new neural network library CMSIS-NN, which is an interface standard reducing the learning curve for developers and reducing the time to market for new devices.
Neural networks are a set of self-learning algorithms inspired by the biological neural networks that constitute the human brain. Neural networks are trained through machine learning with software analyzing big data to see patterns, which can be applied in face recognition, self-driving cars and similar technology for artificial intelligence (AI).
The Arm Cortex® Microcontroller Software Interface Standard (CMSIS) provides a single, scalable interface standard across all Arm Cortex-M® series processor vendors, simplifying software reuse, reducing the learning curve for microcontroller developers, and reducing the time to market for new devices. The CMSIS-NN software library is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Arm Cortex-M processor cores. The library can be used to create intelligent IoT edge devices, an approach that is becoming increasingly popular thanks to its ability to save power and accelerate application efficiency.