5 radically new technologies that you are talking about must know

Baxter is the first generation of robots with which ordinary people can interact in an industrial environment. They cost a lot cheaper than most partially industrial robots, because that the software they use reads ordinary personal computer. 5 Radically New Technologies You Should Know AboutBaxter Open Source Photos: Blue Robot collar”

Baxters are unique and especially easy to use. The following features: – Facial expression shows where you are looking the robot and what it “feels”. Sonar sensors around his head can find the location of people nearby. – Manual training: factory workers can train the robot to perform task first with a hand movement to demonstrate behavior; you can use more features of the robot thanks to the buttons and scale on his forearms – Response to exposure: robot gently moves and has sensors around its joints, which can detect objects and prevent collisions immediately reducing the force of exposure. – Diplopia (double vision): it has cameras for the eyes and also around his wrists so he may consider what he is in close contact with. Deep deep learning is an advanced technology that allows machines to identify sounds, images and others data using multiple layers of neural networks. It has become possibly thanks to improved learning algorithms and increase the power of computers in recent years. This is the next step. in creating artificial intelligence (AI) and trying to mimic the intuitive nature of our brain. It allows computers identify speech and distinguish objects more accurately. Android Voice Identity Research Director Microsoft Rick Rashid said at a recent conference in China that previous voice identification method had an error level of 20 – 25% Deep neural networks reduce error rates to about fifteen%. New technology was used in the latest mobile Android software. Identification and classification Deep study objects also allows researchers train cars to recognize objects. According to a blog post Google software developer Coca Le, after showing neural network 10 million unmarked images from YouTube, the machine has learned to classify their images as abstract concepts such as faces, cats, pedestrians, etc. Algorithm improved level of recognition of these objects by 70% compared with the previous method. Aggregate production (3D printing) Company General Electric has radically changed the production technology of parts jet engine using 3D printing known as “aggregate production”. 3D printing, which creates objects, Adding ultrathin material layers one after another is not new. Medical implants were made using this technology. But the first time it was applied at an industrial level exactly at General Electric that is expected to bring big commercial profits. There are many potential benefits. from aggregate processing compared to conventional welding and foundry technology: – Complex shapes can be made more precisely with minimal material losses; – production costs and production times are shortened since the process is automated a computer; – Parts of products have become lighter, leading to significant fuel savings for airlines; – There was a big flexibility in creating new forms without a traditional restriction existing production configurations. Engineers general Electric is also exploring other materials, hoping that in the future multilayer parts of alloys can be made directly in one product. The introduction of memory for more than two decades Theodor Berger, University of Biomedicine and Neurobiology Engineer Southern California Los Angeles, tried to design silicon a chip that can replace damaged nerve tissue in the brain, to improve people’s memory. According to an interview taken by John Cohen for Science journal, a colleague of Berger thought he was crazy because the device is like supposed to process signals in ways that will suitable for any brain. Experiments were conducted on animals to study which signals are responsible for the formation long-term memories in hippocampus (hippocampus). According to Berger, his team may have found the code, but the model may work only in limited situations. Berger shed some light on the possibility of creating memory implants, giving examples existing technologies such as hearing aids which work by converting sound into electrical signals and sending them in the auditory nerve. Paralyzed people can now also move robotic hands in accordance with their thoughts. There are also signs of success in manufacturing artificial retinas for the blind people. However, he acknowledges that management and recovery a form of cognition like memories will be more difficult. Superelectrical Networks Last Century AC Lines used in electrical networks, although they cannot transmit electricity as far as dc lines because DC energy can only be transmitted through point-to-point transmission, not through integrated networks needed for sustainable transmission of electricity. ABB Group, Swiss multinational technology corporation energy and automation, developed a powerful automatic a DC switch that has overcome this limitation, disconnecting problematic power lines. Switches allow to form direct current power lines not only on large areas, but even across continents, including remote places with rich renewable energy sources. It means, that the use of electricity can be done by renewable energy transfers from areas with an abundance of light or wind in an area devoid of these sources. According to Kevin Ballis, chief energy officer of MIT Technology Review, this technology can even replace natural resources such as fossil fuel.

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