Chinese Engineers have created China’s first brain-like computer, dubbed Darwin Mouse, which will mimic the way during which a person’s brain works and tackle complex calculations while employing a fraction of the energy employed by conventional supercomputers.
Though the technology remains in its infancy, experts say it might be wont to run large, real-time simulations and make new discoveries in chemistry, medicine and therefore the neurosciences. It could even be wont to revolutionize computer design, resulting in more powerful and efficient AI .
Weighing only around 1.3 kilograms within the average adult, the human brain is that the world’s most compact and efficient supercomputer. It conducts about 1,000 trillion logical operations a second, has theoretically limitless storage, and uses less power than a 20 watt light bulb, consistent with the Human Brain project, a eu research program.
Our brain achieves these remarkable feats by using about 86 billion neuron cells, each forming up to 10,000 connections with other neurons referred to as synapses, to get cogitation and consciousness. Scientists are fascinated by the brain’s capabilities for hundreds of years , and in recent years they need tried to duplicate the smart ways it does calculations in electronic devices.
The machine, which fills three 1.6-meter-tall standard server chassis, requires only 350 to 500 watts to work , the university said during a news release. as compared , Fugaku, the world’s fastest supercomputer, needs around 28.3 million watts of power.
Zhu Shiqiang, the deputy Party chief of Zhejiang University, told a news briefing last week that the Darwin Mouse represented a “major milestone achievement” in China’s brain-like computing technology, also referred to as neuromorphic computing.
Zhu said the research team will keep building larger neuromorphic computers using domestically made parts, also as developing new software and upgrading the present Darwin OS .
In a demonstration of its capabilities, Darwin Mouse was shown to be capable of running multiple small robots during a flood rescue scenario. The robots worked as a team while simultaneously processing multiple intelligent tasks like speech recognition, target detection and path planning.
Pan Gang, a professor at the university’s College of computing and Technology, said neuromorphic computing has been attention of the international scientific and engineering communities for a few time and is taken into account one among the key methods to beat the main computing challenges for AI .
In late 2018, the University of Manchester within the uk , upgraded its neuromorphic supercomputer SpiNNaker to host 1,000,000 processors, enabling it to perform 2 trillion actions a second. This allowed the machine to run extremely large-scale real-time simulations, like modeling parts of the brain.