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With integrated high-performance and energy-efficient NVIDIA GPUs, CUDA-enabled APIs, Intel Xeon and Core processors, and revolutionary industrial Artificial Intelligence (AI), machine learning, computer vision, IoT-enabled, and GPU-powered embedded computing systems, AIS is able to meet the rising computing demands of the next generation of control, visualization, and machine intelligence applications.
Context-aware computing can be easily and effectively integrated into virtually any robot, machine, cloud-based, and big data applications or industry, including healthcare and life sciences, automotive, agriculture, manufacturing, energy and utilities, transportation, and autonomous factories. This is made possible by leveraging flexible, standardized communication interfaces and extensive software API support.
The replication of human intelligence functions by machines, particularly computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, and machine vision are some examples of specific AI applications. Vendors have been rushing to showcase how their goods and services use AI as the hoopla surrounding AI has grown.
What they frequently refer to as AI is actually just one part of AI, like machine learning. For the creation and training of machine learning algorithms, AI requires a foundation of specialized hardware and software.
There is no one programming language that is exclusively associated with AI, but a handful is, including Python, R, and Java. Large volumes of labeled training data are typically ingested by AI systems, which then analyze the data for correlations and patterns before employing these patterns to forecast future states.
The Global Industrial AI Computer market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Introducing the new industrial edge computer from Hitachi. Intel and Hitachi worked together to create the “Hitachi Industrial Edge Computer CE series Embedded AI model.” The result is a new model that integrates a deep learning and artificial intelligence (AI) platform for picture analysis.
Hitachi’s manufacturing and control system design capabilities are also integrated into the product. By offering this product, Hitachi helps to advance digital transformation by optimizing and automating operations that rely on visual inspections (such as the inspection process for finished goods in the manufacturing industry) and resolving management issues with the help of on-site data.
Companies are also executing a digital transformation utilizing IoT, AI, and other digital technologies as a result of the numerous issues they face, including the need to increase on-site work productivity and build a new generation of expert workers.
