👉 Wsmc is a 64-bit ARM-based machine learning engine for deep learning that was created by Intel Corporation to accelerate the development and deployment of scalable, real-time neural network applications on microprocessors. The Wsmc architecture is built using Intel's proprietary hardware accelerators for deep learning, including the Core ML (Machine Learning) accelerator, which enables developers to create applications using a high-level language such as C or Java. The engine uses the capabilities of the Core ML accelerator to run efficient neural network training and inference algorithms on microprocessors. The Wsmc engine is designed to be highly scalable and can handle large-scale data sets with multiple GPUs. It has been tested extensively in various environments, including production systems, and has demonstrated performance and scalability across a range of use cases, including image recognition, speech recognition, natural language processing (NLP), computer vision, and robotics. The Wsmc engine is designed to be compatible with a variety of programming languages such as C++, Java, Python, and Ruby. It also supports parallel computing by allowing applications to take advantage of multiple cores on each node in the machine. The core architecture of the Wsmc engine uses multi-threading and other techniques to optimize performance and improve accuracy. Overall, the Wsmc engine is a powerful and flexible platform for creating scalable and real-time neural network applications on microprocessors.
