Distinguishing COVID-19 infection through image learning of chest X-rays
CREDIT: Korea Institute of Science and Technology
Development of low-power and high-efficiency artificial sensory neurons
3T-OTS device to simulate the efficient information processing method of the human brain. A green light for the development of sensor-AI combined next-generation artificial intelligence “to be used in life and safety fields”
Currently, AI services spread rapidly in daily life and in all industries. These services are enabled by connecting AI centers and terminals such as mobile devices, PCs, etc. This method, however, increases the burden on the environment by consuming a lot of power not only to drive the AI ??system but also to transmit data. In times of war or disasters, it may become useless due to the power collapse and network failures, the consequences of which may be even more serious if it is an AI service in the life and safety field. As a next-generation artificial intelligence technology that can overcome these weaknesses, low-power and high-efficiency ‘in-sensor computing’ technology that mimics the information processing mechanism of the human nervous system is drawing attention
The Korea Institute of Science and Technology (KIST}, President Seok-Jin Yoon) announced that its team led by Dr. Suyoun Lee (Center for Neuromorphic Engineering) has succeeded in developing ‘artificial sensory neurons’ that will be the key to the practical use of in-sensor computing. Neurons refine vast external stimuli (received by sensory organs such as eyes, nose, mouth, ears, and skin) into information in the form of spikes; and therefore, play an important role in enabling the brain to quickly integrate and perform complex tasks such as cognition, learning, reasoning, prediction, and judgment with little energy.
The Ovonic threshold switch (OTS) is a two-terminal switching device that maintains a high resistance state (10-100 M?) below the switching voltage, and exhibits a sharp decrease in resistance above the switching voltage. In a precedent study, the team developed an artificial neuron device that mimics the action of neurons (integrate-and-fire) that generates a spike signal when the input signal exceeds a specific intensity.
This study, furthermore, introduces a 3-terminal Ovonic Threshold Switch (3T-OTS) device that can control the switching voltage in order to simulate the behavior of neurons and quickly find and abstract patterns among vast amounts of data input to sensory organs. By connecting a sensor to the third electrode of the 3T-OTS device, which converts external stimuli into voltage, it was possible to realize a sensory neuron device that changes the spike patterns according to the external stimuli.
The research team succeeded in realizing an artificial visual neuron device that mimics the information processing method of human sensory organs, by combining a 3T-OTS and a photodiode. In addition, by connecting an artificial visual neuron device with an artificial neural network that mimics the visual center of the brain, the team could distinguish COVID-19 infections from viral pneumonia with an accuracy of about 86.5% through image learning of chest X-rays.
Dr Suyoun Lee, Director of the KIST Center for Neuromorphic Engineering, said, “This artificial sensory neuron device is a platform technology that can implement various sensory neuron devices such as sight and touch, by connecting with existing sensors. It is a crucial building block for in-sensor computing technology.” He also explained the significance of the research that “will make a great contribution to solving various social problems related to life and safety, such as, developing a medical imaging diagnostic system that can diagnose simultaneously with examinations, predicting acute heart disease through time-series pattern analysis of pulse and blood pressure, and realizing extrasensory ability to detect vibrations outside the audible frequency to prevent building collapse accidents, earthquakes, tsunamis, etc.”.
Original Article: Development of low-power and high-efficiency artificial sensory neurons
More from: Korea Institute of Science and Technology
The Latest on: In-sensor computing
- Xiaomi × Leica Strategic Partnership in Imaging Technologyon July 5, 2022 at 1:10 am
Today, Xiaomi officially unveiled the new Xiaomi 12S Series “co-engineered with Leica”. This outstanding imaging p ...
- Xiaomi, Leica forge strategic partnership in imaging technologyon July 4, 2022 at 10:17 pm
Xiaomi officially unveiled the new Xiaomi 12S Series “co-engineered with Leica”. This outstanding imaging product series is the ...
- The new Xiaomi 12S smartphone has a ginormous 1″ Leica camera sensoron July 4, 2022 at 7:00 am
If you've been hoping for a ginormous camera sensor on a smartphone, the Xiaomi 12S could be the one you've been waiting for.
- Moxa Launches IIoT Gateways Optimized for Integration with the Azure IoT Edge Computing Platformon July 1, 2022 at 8:34 am
New AIG-300 gateways provide secure edge-to-edge data acquisition and device management in remote, unmanned sites.
- Opaque Systems Raises $22M Series A to Boost Confidential Computingon June 30, 2022 at 2:05 pm
Opaque Systems announced it has raised $22 million in Series A funding bringing its total financing to $31.6 million. The San Francisco-based firm is ...
- Sensor Tower Grows Executive Leadership as It Scales for the Next Era in Digital Intelligenceon June 30, 2022 at 8:42 am
With a global presence extending across 25 countries, Sensor Tower is rapidly scaling in both the APAC and EMEA regions. The company is also continuing to broaden its product offerings following the ...
- Sensor Intelligence, Performance Gains Help Solve Many Challengeson June 30, 2022 at 6:59 am
Recent Sensors Converge Conference highlights innovative sensing solutions as the IoT transforms the industry.
- Europe Temperature Sensor Market strength Trends, Industry Analysis, Share, Growth, Product, Top Key Players and Forecast 2026on June 28, 2022 at 6:07 am
Global Europe Temperature Sensor Market Report by Market Study report scrutinizes the overall market synopsis globally, their restraining factors, drivers, major challenges, opportunities, latest ...
- The Global Drone Sensor Market is expected to grow by $ 584.83 million during 2022-2026, accelerating at a CAGR of 15.66% during the forecast periodon June 27, 2022 at 10:22 am
The analyst has been monitoring the drone sensor market and it is poised to grow by $ 584. 83 million during 2022-2026, accelerating at a CAGR of 15.New York, June 27, 2022 (GLOBE NEWSWIRE) -- ...
- Week In Review: Auto, Security, Pervasive Computingon June 24, 2022 at 10:13 am
NHTSA wants 20 seconds from auto black boxes; MIT open-source self-driving simulator; AMD next gen Ryzen; Renesas IoT sensor system.
via Bing News
The Latest on: In-sensor computing
via Google News