Toshiba Corporation of Japan has developed a brain chip that can be used for deep learning of artificial intelligence. This 1.9 mm brain chip integrates 32,000 electronic circuits like brain cells. These circuits have their own computing unit and supporting storage unit. They can process a large number of continuous analog data signals in parallel and perform data characteristics. Learning, many circuits in the same brain chip are coordinated, and finally form a system like a brain neural circuit, completing the complex calculation, processing and deep learning tasks of a large amount of information data required for artificial intelligence.
Although the brain chip adopts a direct processing method for continuous analog signals, the local calculation accuracy is lower than that of the existing chips for digitizing the electrical signals by "0" and "1", but the brain chip can pass the pair. Deep learning of a large number of continuous analog data yields no worse results than digital chips.
In theory, the power consumption of brain-type chips is only one-thousandth of the power consumption of existing processors. In 2014, IBM and other companies have developed a brain-type chip. The brain chip released by Toshiba uses a different structure from the IBM brain chip. It consumes less energy and can be completed in 1 second with 1w of power. About 48.5 trillion calculations.
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