A set of Google engineers has been able to create a robot that does not require human help, and can only learn to perform different tasks, such as walking, based solely on a previous algorithm about real environments.
The most robots that exist today require the support of an engineer and an extensive work program to give it an algorithm that has thought about each of the situations they may face, but since Google wants to go further.
This is an investigation that began long ago, first developing artificial intelligence under a virtual environment where the robot was learning how to move. However, these types of situations mean that not being specifically the real world, they can end up causing machine failures.
With the experience gained, the researchers trained a robot from the beginning in the real world by first designing a more efficient algorithm that was able to learn with fewer tests and fewer errors. For this, they had to use different techniques so that the robot could perform multiple things at the same time but without falling, learning from the failures, and introducing the solution later in the algorithm.
As the research team accumulated adjustments in the robot’s algorithm, the machine was able to walk itself through different surfaces, including flat ground, a doormat with cracks, and a foam mattress.
With this learning technique for robots, these robots could be trained in real environments so that they could move to places where they usually cannot. Assistant professor Chelsea Finn of the research team said that ” removing the person from the learning process is difficult .”
” By allowing robots to learn more autonomously, they are closer to being able to learn from the real world in which we live, rather than in a laboratory as originally done,” he adds.
Still, there is a long way to go, and for the future, researchers plan to adapt their algorithm to different robots or even several so that they can learn at the same time under the same environment.
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!
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.
OmniVision Introduces 64MP Sensor With 1.0µm Pixels
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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