WIMI's Deep Learning Accelerates the Development of AI – IAM Network

NEW YORK, NY / ACCESSWIRE / May 13, 2020 /Over the past decade, machine learning, particularly deep learning methods based on artificial neural networks, has made a number of remarkable advances that have improved our ability to build more accurate systems in a wide range of fields, including computer vision, speech recognition, language translation, and natural language understanding tasks.Today, with the emergence of GPU, FPGA, XPU and other AI computing servers, the computing power of AI has been greatly improved, and the selection of algorithm framework has become an important factor to optimize the computing efficiency of AI. At the same time, due to the development of AI computing system from single-machine single-card to single-machine multi-card, and then to multi-machine multi-card parallel computing, data centers need to simultaneously manage a large number of AI computing servers to support applications. How to better manage and monitor will also affect the output efficiency and operation cost of AI application.Machine learning, particularly deep learning, is driving the development of artificial intelligence (AI). The need for more efficient hardware acceleration of AI/ML/DL is recognized in academia and industry. This year, we've seen a growing number of players, including some of the world's top semiconductor …