Recently, the development of brain-like computing has taken a breakthrough step. Researchers at the Massachusetts Institute of Technology (MIT) have used silicon germanium chips to achieve a highly reproducible single-channel artificial neural synapse, overcoming the non-amorphous medium. Uniformity defects. Currently, this study has been published on Nature Materials.
It is understood that the human brain contains about 100 billion neurons. And at any time, a neuron can send commands to thousands of other neurons through synapses, and neurotransmitters spread through synapses.
There are more than 100 trillion synapses in the brain responsible for conducting neuronal signals. They will strengthen some connections while suppressing other connections, allowing the brain to recognize patterns, remember facts, and perform other learning tasks at ultra-fast speeds.
Many studies have shown that the human brain can perform an average of 1 billion operations per second, requiring only 10-25 watts of energy. If you let a supercomputer do the same job, it takes more than 10 million times more energy than the human brain. At the same time, with the continuous breakthrough of brain morphological chips, brain-like computers will be born.
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