The artificial intelligence (AI) chipsets market is increasingly gaining traction, with robust developments in the field of AI and machine learning. AI is an advanced technology which is used to train machines and provide them with the ability to think and work like humans. It allows a machine to make its own decisions and use its own reasoning to get tasks done.
Machine learning is one of the most important elements of AI which provides machines with the ability to learn outside of the original configuration. It includes deep learning, a type of algorithm that trains the machine to mimic the functions of the human brain through layers of computation. These layers are known as neural networks which are similar to the neural structure found in the human brain.
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AI is expected to emerge as a promising technology for smart homes and enterprises. Several companies are leveraging AI and ML chipsets to offer user with exceptional features and experiences. Citing an instance, in May 2019, LG introduced cutting-edge AI chips for consumer electronics to improve user experience.
Robotic Process Automation (RPA) with AI is meanwhile being implemented across autonomous robots, IQ Bots and facial analysis system. Companies worldwide are adopting RPA technology and AI chipsets for developing autonomous robots.
For example, in March 2020, UVD Robots manufactured robots with a powerful shot wavelength UV -C. for being deployed in Chinese hospitals to disinfect patient rooms and operation theatres during the COVID-19 pandemic.
Elaborating on the product segment, Field-Programmable Gate Array (FPGA) chipsets are extensively used in numerous applications due to its high performance, low power requirement, and improved connectivity feature.
The product offers high bandwidth memory and custom parallelism in a real-time interface with an Artificial Intelligence model. Industry participants are developing cutting edge FPGA chips to offer exceptional AI experience to users.
Citing an instance, in May 2018, Intel revealed that the company will offer FPGA technology for Microsoft Azure Machine Learning Hardware Accelerated Models. This technology will provide Microsoft customers with AI inferencing performance. Based on such developments, studies suggest that the FPGA segment may record 25% CAGR over 2026.
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On the regional front, Europe artificial intelligence (AI) chipsets market is expected to record lucrative proceeds, with surging development made in self-driving vehicles. Automakers are developing cutting-edge autonomous vehicles by using AI chipsets to process large amounts of data from cameras and sensors in real-time to facilitate efficient operations.
As per the European Patent Office, patent applications related to autonomous driving has grown 20 times faster as compared to other technologies. With robust advancements in the autonomous vehicle sector, Europe artificial intelligence (AI) chipsets market is expected to record 33% CAGR over the forecast period.
Major Key Points from Table of Content:
Chapter 5. Artificial Intelligence (AI) Chipsets Market, By Technology
5.1. Key trends in artificial intelligence (AI) chipsets market, by technology
5.2.1. Market estimates and forecast, 2016 - 2026
5.3.1. Market estimates and forecast, 2016 - 2026
5.4. Computer vision
5.4.1. Market estimates and forecast, 2016 - 2026
5.5. Network security
5.5.1. Market estimates and forecast, 2016 - 2026
5.6.1. Market estimates and forecast, 2016 - 2026
Chapter 6. Artificial Intelligence (AI) Chipsets Market, By Processing Type
6.1. Key trends in market, by processing type
6.2.1. Market estimates and forecast, 2016 - 2026
6.3.1. Market estimates and forecast, 2016 - 2026
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