Global Self-Learning Neuromorphic Chip market Report- Forecast 2023
Global Global Self-Learning Neuromorphic Chip market Market Report-Forecast 2023
Global Self-Learning Neuromorphic Chip market ReportForecast 2023
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Copyright © 2017 Market Research Future.
Global Self-Learning Neuromorphic Chip market Report- Forecast 2023
Summary IBM a prominent player in neuromorphic chip market has designed a brain like neuromorphic chip. The chip functions better at image recognition, it is able to accurately classify data much more efficiently, from an energy perspective as compare to traditional processor architectures. The chip can be used in new applications such as mobile computing, IoT, robotics, autonomous cars, and HPC. Qualcomm a key and up-coming player in neuromorphic chip market. It has designed a Zeroth neuromorphic chip program. The company focuses on signing up researchers this year to test its latest technology. HRL Laboratories, LLC, announced that it will continue to
develop innovative electronics products and solutions that simulate the cognitive capabilities of biological intelligence in the Defense Advanced Research Projects Agency’s (DARPA) Systems of Neuromorphic Adaptive Plastic Scalable Electronics, or SyNAPSE program. The company has also shared their views on up-coming neuromorphic technology. It stated that researchers in the company developed brainlike microcircuitry in hardware and also manufactures very low-power neuron CMOS circuits, that became the foundation for large-scale neuromorphic circuits.
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Copyright Š 2017 Market Research Future.
Global Self-Learning Neuromorphic Chip market ReportForecast 2023
Major Key Players: • IBM (U.S.) • Qualcomm (U.S.)
• HRL Laboratories (U.S.) • General Vision (U.S.) • Numenta (U.S.) • Hewlett-Packard (U.S.) • Samsung Group (South Korea)
• Intel Corporation (U.S.) • Applied Brain Research Inc. (U.S.) • Brainchip Holdings Ltd. (U.S.).
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Copyright © 2017 Market Research Future.
Global Self-Learning Neuromorphic Chip market ReportForecast 2023
Segmentation: Global Self-Learning Neuromorphic Chip market is segmented on the basis of application and vertical. Global Self-Learning Neuromorphic Chip market by Application: •
Image Recognition
•
Signal Recognition
•
Data Mining
Global Self-Learning Neuromorphic Chip market by Vertical: •
Healthcare
•
Power & Energy
•
Automotive
•
Media & Entertainment
•
Aerospace & Defense
•
Smartphones
•
Consumer Electronics
•
Others
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Copyright © 2017 Market Research Future.
Global Self-Learning Neuromorphic Chip market ReportForecast 2023
Regional Analysis: Regional analysis for Global Self-Learning Neuromorphic Chip market is studied in different geographic regions such as North America, Europe, Asia-Pacific and Rest of World.
North America region is the prominent player in the self-learning
neuromorphic chip
market due to advanced technological implementation in
hardware system. Owing to the presence of major market players, large market of image recognition and
implementation of self-learning neuromorphic chip in
numerous application such as wearables, consumer electronics, medical, aerospace and others is driving the market. European region is growing with a slow pace in the self-learning neuromorphic chip market. Asia-Pacific region is expected to be fastest growing region in the Global Self-Learning Neuromorphic Chip market owing to advanced infrastructure development from countries such as China and India that is boosting the market growth. Increasing urbanization, business expansion across and industrial developments is driving the growth of Global Self-Learning Neuromorphic Chip market in the region.
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Copyright Š 2017 Market Research Future.
Global Self-Learning Neuromorphic Chip market Report- Forecast 2023
(Germany) are focusing on the digital utilities transformation.