Garrett Kenyon (a working physicist at Los Alamos National Laboratory) and many others are hoping to see more smart computers in a form of emerging technologies called by the name ' Neurological structure / or nerve calculation technique '(NC) .thery for standard computing architecture when processing information in linearity, polymorphic nerve chips will simulate how the brain Processing information with countless digital neurons actively active when sending electrical impulses to other neuron networks. Each neuron silicon will be activated when it receives enough pulse and stimulation Its to other neurons, and the system will learn by reinforcing the connections that are stimulated regularly while removing inactive connections. This approach proves quite outstanding when detecting models in large numbers of noise data, which can speed up the machine.Do the processing process takes place in the entire neuron network, so the chips Neurological polymorphism also requires data between memory and much less processing circuit, promoting speed and energy efficiency
. In fact, nervous calculations are not a new story, but the progress is slow, as well as chip manufacturers also hesitate to invest in this technology without priesting efficiency in the market, and the houses Developing algorithms are struggling to write software for the entire new computer architecture. This field seems to be ripe when the ability of chips increases gradually, shown by attracting a community Growth of software developers. Intel Group announced the second generation of polymorphic nerve chip named Loihi
This chip contains up to 1 million artificial neuron neurons, 6 times larger than the first generation chip, and they connect with each other through 120 million neurograms. Source: Mason Trinca. Other companies like Brainchip and Synsense recently launched a new polymorphic nerve hardware, this chip will accelerate tasks such as computer visualization and audio processing. Thomas Creland, a nervous biologist working at Cornell University (New York) said: "Nervous calculations are superstars. Although not doing things better, it will be completely a small part in the computer field. "Open to enter Intel's polymorphic nerve architecture made this giant away away from the children The famous versatile computer chip is called central processor (CPUs). In recent years, the progressive speed in CPUs's Silicon industry has begun to slow down. This fact has led to an increase in special computer chips such as graphics processors (GPUs) and dedicated memory chips and each chip is suitable for a specific job. Central in Jones Farm area, which is a research and development complex located in the west of Portland city (Oregon state). Each bustling before the Covid-19 pandemic period, currently Jones Farm's 4-storey house is available for availability when software engineers and hardware most work at home
At the polymorphic nervous laboratory, Mr. Mike Davies and a permanent employee who tested Loihi-2 chips with a size of 2 sizes. Mr. Davies said the remote work would slow down the progress of tossing a new 6-month chip. As like Loihi-1 chips, single neurons in Loihi-2 chips can be programmed to amplify or inhibit the spread Transmission of electromagnetic impulses from neighbors neuron. On the other hand, the cooperation with neuroscientists like Cleland will promote Intel engineers to add another intellectual feature to the new Loihi chip. Studies on the sense of olfactory handling in the brain have shown That interval between pulses can encrypt additional information, and last year 2020, Mr. Creland and colleagues have demonstrated the strength of adding time in nervous calculations. They have trained the first generation Loihi chip that can recognize the smell of 10 types of toxic chemicals in a mixture of background compounds. The researchers recorded the readings of 72 chemical sensors right in a wind tunnel when the smell over it, including acetone, methane and ammonia. They provided data for Loihi using a magic Mathematics to perform and analyze smells in the form of electrical pulse flows that change according to their time model. Loithi can determine every smell with only 1 sample; Deep learning approach requires training to 3,000 samples to reach the same accuracy. From the success that has promoted Intel equipped for Loihi-2 chips to produce and analyze complex time pulse models. Mike Davies biological nerve statement: "We are trying to set up one Smart, multi-purpose and flexible new computer chip ". Loihi chips from two types 1 and 2 may indicate that neural chip polymorphism can catch up with the possibility of some progress AI program on the market. Software Workhors . Dịch vụ:
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