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Optical data transmission speed increased by a factor of at least 10,000


Credit: Korea Institute of Science and Technology(KIST)
Pulsed lasers repeatedly emit light for a short period of time as if blinking. They have the advantage of focusing more energy than a continuous wave laser, whose intensity is kept unchanged over time. If digital signals are loaded in a pulsed laser, each pulse can encode one bit of data. In this respect, the higher the repetition rate, the more the amount of data that can be transmitted. However, conventional optical-fiber-based pulsed lasers have typically had a limitation in increasing the number of pulses per second above the MHz level.
The Korea Institute of Science and Technology (KIST) announced that the research team led by Senior Researcher Dr. Yong-Won Song at the Center for Opto-Electronic Materials and Devices was able to generate laser pulses at a rate at least 10,000 times higher than the state of the art. This achievement was accomplished by inserting an additional resonator containing graphene into a ....

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How to train a robot (using AI and supercomputers)

Computer scientists from UT Arlington developed a deep learning method to create realistic objects for virtual environments that can be used to train robots. The researchers used TACC s Maverick2 supercomputer to train the generative adversarial network. The network is the first that can produce colored point clouds with fine details at multiple resolutions. The team presented their results at the International Conference on 3D Vision (3DV) in Nov. 2020. ....

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Appreciating a flower's texture, color, and shape leads to better drone landings


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IMAGE: Optical flow field (blue arrows) when the drone flies straight forward. In the flight direction, the flow is smallest, making the tree in the drone s path the hardest one to.
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Credit: MAVLab/ TU Delft
If you ever saw a honeybee hopping elegantly from flower to flower or avoiding you as you passed by, you may have wondered how such a tiny insect has such perfect navigation skills. These flying insects skills are partially explained by the concept of optical flow: they perceive the speed with which objects move through their field of view. Robotics researchers have tried to mimic these strategies on flying robots, but with limited success. A team of TU Delft and the Westphalian University of Applied Sciences researchers therefore present an optical flow-based learning process that allows robots to estimate distances through the visual appearance (shape, color, texture) of the objects in view. This artificial intelligence (AI)-based ....

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Fastener with microscopic mushroom design holds promise


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IMAGE: A fastener with microscopic mushroom shapes could be as strong as Velcro but with less noise and less damage to other fabrics, researchers say.
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Credit: Preeti Sharma
WASHINGTON, January 19, 2021 A Velcro-like fastener with a microscopic design that looks like tiny mushrooms could mean advances for everyday consumers and scientific fields like robotics.
In
Biointerphases, published by AIP Publishing, researchers from Wageningen University in the Netherlands show how the design can use softer materials and still be strong enough to work.
Probabilistic fasteners work, because they are designed with a tiny pattern on one surface that interlocks with features on the other surface. Currently available fasteners, like Velcro and 3M, are called hook and loop fasteners. That design requires harder, stiff material, which is what causes the loud ripping sound when they are peeled off and why they can damage delicate surfaces ....

United States , Vittorio Saggiomo , Preeti Sharma , Joshua Dijksman , Marleen Kamperman , Wageningen University , Biomechanics Biophysics , Chemistry Physics Materials Sciences , Technology Engineering Computer Science , Robotry Artificial Intelligence , ஒன்றுபட்டது மாநிலங்களில் , பிரீதி ஷர்மா , பயோமெக்கானிக்ஸ் உயிர் இயற்பியல் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Constructing termite turrets without a blueprint


Credit: (Image courtesy of Guy Theraulaz/Harvard SEAS)
Following a series of studies on termite mound physiology and morphogenesis over the past decade, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences have now developed a mathematical model to help explain how termites construct their intricate mounds.
The research is published in the
Proceedings of the National Academy of Sciences.
Termite mounds are amongst the greatest examples of animal architecture on our planet, said L. Mahadevan, the Lola England de Valpine Professor of Applied Mathematics, of Organismic and Evolutionary Biology, and of Physics and lead author of the study. What are they for? How do they work? How are they built? These are the questions that have puzzled many scientists for a long time. ....

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