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Key players operating in the AI infrastructure market are Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Samsung Electronics (South Korea), Google (US), Microsoft (US), Micron Technology (US), Amazon Web Services (US), CISCO (US), Oracle (US), ARM (UK), Xilinx (US), Advanced Micro Devices (AMD) (US), Dell (US), HPE (US), Habana Labs (Israel), and Synopsys Inc. (US). Increasing adoption of cloud machine learning platform and escalating demand for AI hardware in high-performance computing data centers are driving the AI infrastructure market.
Deep learning is a class of ML based on multiple algorithms for creating relationships among data. Deep learning uses artificial neural networks to learn a representation of multiple levels of data, such as texts, images, and sounds. Its algorithms help in identifying patterns from a set of unstructured data. Presently, deep learning technology is used in voice recognition, fraud detection, recommendation engines, sentiment analysis, image recognition, motion detection, etc. Algorithms help in identifying patterns from a set of unstructured data. Deep learning uses artificial neural networks to learn multiple levels of data.
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The market in APAC mainly constitutes major economies such as Singapore, South Korea, Japan, China, India, and Australia, which are expected to register high growth in the AI infrastructure market. APAC is the host to a few of the fastest-growing and leading industrialized economies such as China, Japan, and India in the world. It is witnessing dynamic changes in the adoption of new technologies and advancements in organizations across industries. Increasing adoption of deep learning and NLP technologies for finance, agriculture, marketing, and law applications is also driving the market in this region.
