Neuromorphic Chips are used as Image Recognition System in Various Sectors

Neuromorphic chips are the electronic chips inspired from human brains that are made out of million of neurons. The system is amalgamation of numerous artificial neural network chips which is known as neuromorphic architecture. Neuromorphic computing is executed on hardware by threshold switches, transistors and oxide based memristors. Neuromorphic chips are the amalgamation of memristors and transistors deployed over a silicon fabrication chip, which assists to lessen memory consumption in real time manner. Moreover, neuromorphic chips are the digital and analog very large scale integration (VLSI) system which performs as neural systems models. Implementation of neuromorphic chip is likely to increase scalability, performance and sensitivity of machines.

Neuromorphic chips are combination of digital and analog very large scale integration (VLSI) system and software, which execute neural systems models. Neuromorphic chips are combination of digital and analog very large scale integration (VLSI) system and software, which execute neural systems models. This can be executed on hardware by threshold switches, transistors, and oxide based memristors. These are the electronic chips based on the concept of human brain and are made out of millions of neurons. These are small enough in size, so that it can be placed inside electronic devices and human body easily. Moreover, these chips are placed in one single micron of space which drives the miniaturization of integrated circuits. The increase in application wise penetration of miniaturization of integrated circuits has fuelled the demand for neuromorphic chips. Logistics, ‘aerospace and defense’ and automotive are some of the sectors where neuromorphic chips are used for image recognition.

Technology Behind Neuromorphic Chips: http://bit.ly/2abDK17

The neuromorphic chip market is driven primarily due to the increasing demand of artificial intelligence. Artificial intelligence is a machine learning technology that provides the skill to machines to learn with partial programming. This involves the advancement of computer programs and machines which are competent enough to update themselves when being exposed to real time data. Moreover, an innovation in the field of miniaturization of integrated circuits has increased the scope of applications for neuromorphic chip. The neuromorphic chips are small and scalable enough to get easily implemented in different end use products. Rising demand of neuromorphic chip in the field of Internet of Things (IoT) technology is driving the growth of the market. The chips are likely being planted in large supercomputers to enhance the speed of machine learning along with some other neural network-based computations.

Based on geography, the neuromorphic chips market can be segregated into four regions: North America, Europe, Asia-Pacific and Rest of the World. The North America neuromorphic chip market held the largest market share in 2014 and during the forecast period, this region is expected to retain its leadership position. Growing demand for neuromorphic chips in different industry verticals such as medical, industrial and aerospace & defense is primarily driving the demand in North America. Moreover, technological advancements in terms of product innovations are also positively impacting the growth of North American neuromorphic chip market. Moreover, rising industry level applications of neuromorphic chips for Internet of Things (IoT) technology is also driving the growth of the market in this region. In Asia Pacific, during the forecast period, it is expected that applications of neuromorphic chips in semiconductor & electronics industry will increase significantly. As of 2015, due to lack of infrastructure availability and lack of availability of technological resources, the market for neuromorphic chip is in nascent phase in rest of the world (ROW).

Major industry participants include. Intel Corp. (U.S), Qualcomm Inc.(U.S), International Business Machine Corporation (U.S), General Vision Inc.(U.S), Brain Corporation (U.S), HRL Laboratories LLC (U.S), Vicarious FPC Inc.(U.S), Lockheed Martin Corporation (U.S), Hewlett Packard Corp.(U.S) and Samsung Electronics Co. Ltd. (South Korea) among others.