In recent years, with the unremitting efforts of scientists and researchers, some amazing leaps have been made in the fields of medicine and artificial intelligence, such as the first successful cloning of monkeys by domestic scientists, and the 3-D printing of respiratory organs by Rice University. Recently, a team of scientists from the University of Minster, Oxford and the University of Exeter has created chips containing artificial neural networks similar to human brains. Using the power of light, these artificial neurons can simulate the basic behavior of human real neurons and synapses.
Bioengineer, a foreign media, reported that the artificial brain can use four artificial neurons and 60 synapses to accumulate information and perform pattern recognition or calculation, which is very similar to the way our own brain works in the real world. The full explanation of chip functions is very technical, but in short, scientists use two machine learning algorithms to transmit information and trigger these neurons through "light pulses".
Researchers say the key to the chip is power supply. Instead of relying on electricity or electrons, they use light and photons. Because of this difference, Bioengineer says the chip can process data "quickly" compared with similar electronic-based systems. The breakthrough of this technology will bring us unknown in the future, which is still in the early stage of development. It's still a long way to go if we want this "synaptic network" to be close to the full capacity of the human brain.