![]() ![]() The MIT team's artificial neurons and synapses are built using a new inorganic material in their fabrication process, boosting the performance of devices using them to one million times faster than previous iterations and one million times faster than the synapses found in the human brain. ![]() Instead of using transistors like in digital processors, analog deep learning uses programmable resistors to " create a network of analog artificial 'neurons' and 'synapses'" that can exceed the performance of a digital neural network, while using a fraction of the energy. Researchers from the Massachusetts Institute of Technology (MIT) have created new artificial " neurons" and " synapses" that exist within a new field of artificial intelligence called analog deep learning.
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