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(IT-NEWSWIRE.COM, March 21, 2018 ) Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.
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Company (NVIDIA, Intel, IBM, Qualcomm, KnuEdge, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip etc.): Company Profile Product & Service Business Operation Data Market Share Investment Analysis: Market Features Investment Opportunity Investment Calculation
Industry Chain Raw Materials Cost Technology Consumer Preference Industry Overall: History Development & Trend Market Competition Trade Overview Policy
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Region Coverage (Regional Output, Demand & Forecast by Countries etc.) : North America Europe Asia-Pacific South America Middle East & Africa
Fundamentals of Table of Content:
1 Industry Overview 1.1 Deep Learning Chipset Industry 1.1.1 Definition 1.1.2 Industry Trend 1.2 Industry Chain 1.2.1 Upstream 1.2.2 Technology 1.2.3 Cost Structure 1.2.4 Consumer Preference 1.2.2 Downstream
2 Industry Overall 2.1 Industry History 2.2 Development Prospect 2.3 Competition Structure 2.4 Relevant Policy 2.5 Trade Overview
3 Deep Learning Chipset Market by Product 3.1 Products List of Major Companies 3.2 Market Size 3.3 Market Forecast
4 Key Companies List
5 Market Competition
6 Market Demand by Segment
7 Region Operation
8 Market Investment
9 Conclusion
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