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MIT Develops A Paint That Can Change The Color And Design Of Products

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MIT Develops A Paint That Can Change The Color

 A Paint That Can Change The Color

MIT is working on programmable paint to change color and pattern in visible light sources. Work is continuing on programmable paint that can be applied by spray or painting.

Hypercolor’s heat-changing products in the 90s are still remembered. MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is conducting significant work on a reprogrammable ink that changes color and pattern in the ultraviolet (UV) and visible light sources of objects. It seems that the work has made significant progress.

The new paint that MIT is working on is called PhotoChromeleon. PhotoChromeleon can be applied to surfaces by spraying or painting. PhotoChromeleon consists of a photochromic paint mixture.

This reprogrammable paint was applied and tested by MIT researchers on a car model, phone case, shoes, and a suitable chameleon toy. According to the researchers, the paint can change color as desired and be able to return to its original state.

According to Juhua Jin, a researcher at CSAIL and lead author of the article on reprogrammable paint, this new paint can improve production efficiency and reduce total waste. According to Jin, with this new work, users can now continue to use the same product without buying different colors and styles of the same product.

PhotoChromeleon rises through ColorMod, MIT’s previous work on color-changing products. ColorMod was working through a three-dimensional printer. The researchers gave up because they encountered a limitation in color ranges and resolution in the ColorMod study. However, these two problems seem to have been overcome in the PhotoChromeleon study.

MIT’s concept of reprogrammable paintwork is now in the process of proof. However, the work has already begun to attract the attention of companies.

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South Korean TV Station Introduces An Artificial Intelligence-Based Host

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South Korean TV Station Introduces An Artificial Intelligence-Based Host

Even though today many of us often read news from online media sites, the presence of presenters on television is still needed. This is because the host must have his own expertise to read the news so that it can attract the attention of the audience.

However, in this era of sophisticated technology, of course, there is a possibility that the work of this presenter can be replaced by modern technology. One of them is Artificial Intelligence.

This was also directly proven by a television station from South Korea called MBN News, where recently his party had exhibited an AI-based presenter who came under the name AI Kim and became the first host in South Korea to be developed using AI.

It is known that AI Kim or who has the full name AI Kim Ju-Ha was made based on the original presenter who worked at MBN News, namely Kim Ju-Ha. It was stated that the AI ​​took about 10 hours to identify Kim Ju-Ha’s voice, speech, and body movements.

“I was created using deep learning technology by studying Kim Ju-Ha’s videos starting from the way he spoke, the sound he produced, the facial expressions, the movements of the lips, and how his body moved. I can deliver the exact same news as Kim Ju-Ha did, “said AI Kim Ju-Ha in his introduction.

It appears that AI Kim Ju-Ha can indeed speak very fluently like a real human. Even if we weren’t told that it was an AI, we probably wouldn’t even notice!

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This elastic sensor technology can make robots and VR feel like a human

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This elastic sensor technology can make robots and VR feel like a human

The development of VR (Virtual Reality) technology is currently quite great, where there are many things that have been presented using this technology. But currently, there is still a barrier between the VR world and the real world, the barrier is that we can’t touch objects in the VR world.

This is what makes researchers from Cornell University interested in developing sensors that can detect objects in the real world and can later be displayed in VR. This technology comes in the form of an elastic glove which is equipped with several sensors on the fingers.

Not only is it useful for humans, but this technology is also known to be used by robots so that they can sense objects in the real world. Maybe in the future, the robots will be able to find out what object they are holding by using these sensors.

Rob Shepherd as the head of the research said that at this time the technology had begun to be completed. Although it is quite difficult to gauge what touch feels like in the real world, these technologists allow them to make interaction relationships, especially for touch.

In addition, Shepherd also said that this technology would also be very useful for the development of VR and AR-based on motion capture. Because this sensor can tell how much pressure to apply when doing something, for example when repairing a car and changing its wheels.

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OmniVision Introduces 64MP Sensor With 1.0µm Pixels

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OmniVision presenta un sensor de 64 MP con píxeles de 1,0 µm

Last February, OmniVision launched a 64 MP 1 / 1.7 sensor, which has 0.8 µm pixels. And now, the company is releasing a sensor that’s bigger than ever again, which is 64MP 1 / 1.34 and has 1.0µm pixels. Interestingly, this sensor can be used in ultrawide screens.

The pixels, which are larger than OmniVision OV64A, are 60% more sensitive to light compared to 0.8 µm pixels. Naturally, it has a 4-cell (aka Quad Bayer) color filter for pixel binning.

While it can output 8K videos at 30fps, the more interesting mode is 4K with 4-in-1 binning which results in sizable 2.0µm pixels. Especially when used for photos, this same binning mode can produce 16MP images.

This sensor also supports HDR which is even brighter and processes the HDR image faster than before.

Not only that, this sensor can provide them with a stable 4K 120 FPS and also offers 1080p 240 FPS and 720p 480FPS modes.

Reportedly this sensor will be delivered before this year ends which is possible in 2021, some mid-range and high-end phones can use this sensor.

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