Tomorrow’s AI May Be Using Neuromorphic Chips

A report highlighting the leaps and bounds made by the artificial intelligence (AI) industry has gone up on Research and Markets showing the leaps and bounds the industry has made over the last year and the plans it has for the future. The notable point the report mentions is the partnership with manufacturers from multiple industries to develop prototypes using neuromorphic chips.

Neuromorphic chips are analogue data processors modelled by the function of the biological brain. This design concept allows chips to interpret stimuli and respond in specific, unprogrammed ways. In a nutshell, neuromorphic engineering mimics artificial neural networks (ANN). The neuromorphic computing chip concept was first used in the 1980’s by scientist and engineer Carver Mead and has been studied and used by several companies, Qualcomm, Intel and IBM among them.

Neuromorphic chipsets are the basis for developing generalized artificial intelligence capabilities. They can benefit devices that use a stand-alone chip because of the low levels of power consumption and its skill at pattern recognition and stochastic processing. Data analytics, internet of things, and smart sensors are considered as major applications in the neuromorphic chip market, as these chips are embedded into hardware used for image recognition, data mining.

The implications for always-on devices and IoT devices are immense, offering necessary decision-making capabilities to hardware that could improve the legitimacy and quality of data gathered.

A Discussion of Patents

Covered within the report are the most prestigious companies involved in neuromorphic research and the industries the technology is best suited for. Over 700 patents are mentioned, including many owned by SK Hynix, Qualcomm, and IBM. It also touches on the active research projects occurring in the field, and what the future application of these studies are to be. Among the industries pipped to be affected significantly by neuromorphic technology are the IoT ecosystem, the automotive sector, cybersecurity, the financial services industry, medical systems, and space.

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