Rise in AI and Emergence of Quantum Computing Drive the Deep Learning Chip Industry


The dream of building objects of intelligence that mimic humans has existed for a long time. While most of them appear in sci-fi movies, in recent years, humans have started making intelligent machines that carry out tasks just as humans do. This is a field known as artificial intelligence (AI). Deep learning is nothing but a subcategory of machine learning (ML), which is a branch of AI. ML enables a machine to learn from data accessed by algorithms, which are created by human programmers.


Deep learning is a part of ML that enables a system to learn and analyze data through an artificial neural network that mimics a human brain. The technology has found application in numerous areas and some of them include natural language processing, automatic speech recognition, customer relationship management, image recognition, and drug discovery.


The rise in artificial intelligence has propelled several small and big companies to develop deep learning chips for various applications. The enhanced implementation of the chips is thereby leading to the growth of the market. Moreover, the emergence of quantum computing and autonomous robotics-robots that develop and control themselves autonomously is likely to offer lucrative growth opportunities for the deep learning chip industry. A report on the deep learning chip market published by Allied Market Research states that the industry garnered $1,975 million in 2017 and is expected to accrue a sum of $29,368.0 million by 2025, growing at a CAGR of 39.9% from 2018 to 2025.


One of the recent developments in the field is Intel’s acquisition of Vertex.AI, a startup that develops deep learning for every platform. Another recent acquisition is of the machine learning company DeePhi by Xilinx. The deal aims at further exploring the field of ML.


Intel Buys Deep Learning Startup

In August ’18, Intel, the chip giant purchased Vertex.AI, which makes the latter a part of the former’s AI Products Group. According to Vertex, Intel continues to develop PlaidML as an open source project, where it supports a variety of hardware under an Apache 2.0 license with an Intel nGraph backend. Intel also aims to be at the forefront of the next wave of computing on edge devices which range from the internet of things (IoT) devices at home to in-car tech, drone devices and much more.


DeePhi Buys Xilinx

In July ‘18, Xilinx completed the acquisition of DeePhi Technology, a Beijing-based company specializing in deep compression, pruning, and system-level optimization for neural networks. The deal allows Xilinx to explore the capability of machine learning and further advance its engineering capabilities and enable the intelligent world.


Song Yao, CEO of DeePhi Tech said,

We are excited to continue our strong partnership with Xilinx and work even more closely to deliver leading machine learning solutions to our customers in China and around the world.”


Yi Shan, CTO of DeePhi, said that Xilinx accompanies DeePhi Tech to explore the potential of machine learning. He also said that that they are eager to continue their joint efforts with Xilinx to bring more innovative solutions to their customers.


For enlightenment, request a sample of the “Deep Learning Chip Market by Type and Technology” report: https://www.alliedmarketresearch.com/request-sample/2558



About the Author

Sharmistha Sarkar has always had a keen interest in reading and writing. Though an engineering graduate, she forayed into the field of writing due to her love for words and the urge to do something different. Progressive Market Research has given her the chance to gain knowledge about different subjects as a senior content writer.





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