A.I has revolutionised the way machines operate and function. For instance, deep learning that defines technologies involving Apple’s Siri and Google Translate are completely guided by A.I models. It uses various interconnected processing strata based on neuronal layers having cortex design. Even so, most cutting-edge neural networks are supported by Neumann machines and require a high load of energy owing to intensive computation.
Recently a program named AlphaGo that was designed by Google DeepMind competed with a human brain over Go programming language. After registering thirty million moves in its database the program did manage to beat its opponent. Similarly, a few years ago, Google’s brain simulator successfully identified cats in YouTube videos with the help of nearly 1600 core processors. Some of the leading tech companies now aspire to integrate such intelligence in smaller and smarter devices such as smart phones, tablets and wearables. Such technological upgrades will allow devices to make facial recognitions, read human behaviours and provide assistance during emergencies. In order to perform such advanced operation, A.I. will need the support of more advanced algorithms and neuromorphic chips.
After decades of engineering data collection, developers introduced the neuromorphic chips for consumer use. In 2014, a research group at Stanford University created a low-power Neurogrid chip. California-based tech giant Qualcomm has recently announced it is reaching the final stages of successfully design a brain-inspired Zeroth processor, which is likely to enter the market by next year. Similarly, I.B.M.’s TrueNorth has recently completed all the prototype testing successfully. The technology is developed using silicon neurones. According to the company, the chip technology will be quite useful in real-time pattern recognition, image identification and voice processing. However, the biggest takeaway from the technology is its high energy efficient working. The Chip consumed 20 milliwatts per square centimetre, which is almost thousand times lower as compared to traditional chip.
A research conducted by Future Market Insights (FMI) delivers insights on some of the ongoing projects and strategic partnerships in the market for neuromorphic chip.
- In 2015, IBM won 7,355 patents in the US, making it a leader in neuromorphic chip technology in the country.
- An investment of US$ 12.1 Billion was made by Intel Corporation in 2015 to ramp up its R&D activities. The company is a prominent manufacturer of computer chips and a major developer of proprietary technologies.
- Last year, Mando-Hella Electronics Corp and General Vision teamed up to develop an advanced monitoring and driver assistance systems integrated with NeuroMem technology. The technology will enable multisensory pattern recognition and image identification.
- Hewlett Packard a leading PC and laptop manufacturer is actively focusing on integrating advanced A.I technologies into consumer products in order to boost company’s product portfolio.
- HRL Laboratories are concentrating on expanding its product line into innovative application areas that will help it gain a competitive edge in the market.
It is projected that the global market for neuromorphic chips will witness steady growth over the next couple of years. The market is set to expand at a compound annual growth rate of 20.7% between 2016 and 2026. In 2015, global market for neuromorphic chip surpassed US$ 1,420 Million and is estimated to reach US$ 10,810 Million over 2026.
