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The spike current and retention time of ORRAM devices increase faster under higher light intensity, according the characteristics of light-tunable plasticity.


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Correspondingly, the pixel with higher brightness shows more enhanced accumulation effect, enabling the functions of first-stage image processing, such as, contrast enhancement and noise reduction. We constructed an artificial visual system consisting of pre-processing based on ORRAM arrays and image recognition based on artificial neural network Fig.

Enhance. Enhance. Enhance

After the image pre-processing conducted through ORRAMs, the pre-processed image database is inputted into the artificial network to conduct image training and recognition. The image recognition efficiency processing speed and energy consumption is proved to be largely improved with the image pre-processing at the front-end Fig. The proof-of-concept device provides the potential to simplify the circuitry of neuromorphic visual system and contribute to the development of applications in edge computing.

Sensors and Machine Learning Are Giving Robots a Sixth Sense

Nature Research Device and Materials Engineering Community is a community for authors and editors who work in device engineering and materials engineering. A community from Nature Research. Contributor Nature Nano. Behind the paper. Yang Chai.

Human Touch: Sensor Lets Robots 'Feel'

Like 2 Comment. Facebook Twitter LinkedIn. The system has a flowerlike arrangement, with a layer of gold in the center, and the ligands forming the "petals.


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  8. When the plastic is bent or pressed upon, the nanoparticles inside shift, and the distances between them change. This shift affects how quickly electrons can pass between the particles, altering the electrical characteristics of the sensor.

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    In other words, a change in pressure affects how well the compound conducts electricity. Temperature and humidity also affect the distance between the nanoparticles in a similar way, he added. The researchers also found that by altering the thickness and material of the plastic surface, they could control the sensitivity of the sensor. We had many discussions with IBM experts who build a lot of these analytics on mobile platforms.

    Touchy subject

    Khosla shares that this type of partnership is often one that those working in the sensor and materials science industry shy away from, especially researchers in academia. Bridging the gap can create applications like this, and the industry is pushing for this. I hope this encourages other researchers.

    Collaborations with experts from different fields is the key, just like Dr. Sushanta Mitra did.

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    New e-skin innovation gives robots and prosthetics an exceptional sense of touch

    He explains as long as a disease offers distinguishable patterns or color changes, their sensors can also detect it. This technology can be used in many ways and in many areas eventually.

    Mitra adds the mobile app can be tuned to develop solutions for classifying the data from various sensors used in healthcare, agriculture, and environmental applications. He is currently working on making this a reality by submitting proposals for additional funding.