A DGIST research team has developed a high-reliability artificial electronic synaptic device that simulates neurons and synapses.
A research team led by Director Myoung-Jae Lee from the Intelligent Devices and Systems Research Group has succeeded in developing an artificial synaptic device that mimics the function of the nerve cells (neurons) and synapses that are response for memory in human brains.
Synapses are where axons and dendrites meet so that neurons in the human brain can send and receive nerve signals; there are known to be hundreds of trillions of synapses in the human brain.
This chemical synapse information transfer system, which transfers information from the brain, can handle high-level parallel arithmetic with very little energy, so research on artificial synaptic devices, which mimic the biological function of a synapse, is under way worldwide.
Dr. Lee’s research team, through joint research with teams led by Professor Gyeong-Su Park from Seoul National University; Professor Sung Kyu Park from Chung-ang University; and Professor Hyunsang Hwang from POSTEC, developed a high-reliability artificial synaptic device with multiple values by structuring tantalum oxide a trans-metallic material into two layers of Ta2O5-x and TaO2-x and by controlling its surface.
The artificial synaptic device developed by the research team is an electrical synaptic device that simulates the function of synapses in the brain as the resistance of the tantalum oxide layer gradually increases or decreases depending on the strength of the electric signals. It has succeeded in overcoming durability limitations of current devices by allowing current control only on one layer of Ta2O5-x.
In addition, the research team successfully implemented an experiment that realized synapse plasticity, which is the process of creating, storing, and deleting memories, such as long-term strengthening of memory and long-term suppression of memory deleting by adjusting the strength of the synapse connection between neurons.
The non-volatile multiple-value data storage method applied by the research team has the technological advantage of having a small area of an artificial synaptic device system, reducing circuit connection complexity, and reducing power consumption by more than one-thousandth compared to data storage methods based on digital signals using 0 and 1 such as volatile CMOS (Complementary Metal Oxide Semiconductor).
The high-reliability artificial synaptic device developed by the research team can be used in ultra-low-power devices or circuits for processing massive amounts of big data due to its capability of low-power parallel arithmetic. It is expected to be applied to next-generation intelligent semiconductor device technologies such as development of artificial intelligence (AI) including machine learning and deep learning and brain-mimicking semiconductors.
Dr. Lee said, “This research secured the reliability of existing artificial synaptic devices and improved the areas pointed out as disadvantages. We expect to contribute to the development of AI based on the neuromorphic system that mimics the human brain by creating a circuit that imitates the function of neurons.”
Receive an email update when we add a new ARTIFICIAL SYNAPSES article.
The Latest on: Artificial synapses
via Google News
The Latest on: Artificial synapses
- Brickschain Launches AI and Machine Learning Platform Synapse at Autodesk University on November 12, 2018 at 4:52 pm
LAS VEGAS, November 12, 2018 (Newswire.com) - Brickschain announces the release of Synapse, the long-anticipated artificial intelligence platform for the built environment. It gives construction compa... […]
- World’s most powerful artificial brain designed: Complete info on November 12, 2018 at 2:43 am
This artificial brain is unique because ... which are all highly interconnected via approximately one quadrillion synapses. One of the objectives behind designing this supercomputer is to assist neuro... […]
- Scientists have built an artificial human brain cell on October 1, 2018 at 5:00 pm
“Human cortical cells have unique membrane properties, with more efficacious excitatory synapses that compensate for their ... to develop brain-inspired learning machines and develop Artificial Intell... […]
- Latest AI News-AI System Roles to Identify Obesity, Cancer and Avoid Child Abuse on September 21, 2018 at 12:04 pm
Chemical-based synapse information and transfer system is responsible to transfer information from one’s brain to deal with various high levels of parallel arithmetic by using less possible energy. He... […]
- South Korean researchers create device that simulates memory on September 11, 2018 at 3:25 am
A team of researchers from the Daegu Gyeongbuk Institute of Science and Technology in South Korea have developed an artificial synaptic device, which mimics synapses, a structure present in neurons in ... […]
- Artificial synaptic device simulating the function of human brain on September 7, 2018 at 6:33 am
A research team led by Director Myoung-Jae Lee from the Intelligent Devices and Systems Research Group at DGIST has succeeded in developing an artificial synaptic device that mimics the function of th... […]
- If only A.I. had a brain—engineers model an artificial synapse after the human brain on July 24, 2018 at 7:02 am
Pitt engineers built a graphene-based artificial synapse in a two-dimensional, honeycomb configuration of carbon atoms that demonstrated excellent energy efficiency comparable to biological synapses C... […]
- Artificial synapse, better than the natural one, but not so good … on March 3, 2018 at 4:00 pm
This artificial synapse designed for neuromorphic computing mimics the operation of switch between two neurons. One artificial synapse is located at the center of each X. This chip is 1 square centime... […]
- Engineers design artificial synapse for “brain-on-a-chip” hardware on January 29, 2018 at 2:49 pm
A significant hangup on the way to portable artificial intelligence has been the neural synapse, which has been particularly tricky to reproduce in hardware. Until now. Packed within the squishy, foot... […]
via Bing News