What do robotics engineers do? + Cyborgs are upon us + 1st spintronics AI demo

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What do robotics engineers do?

EXCERPT: The term engineering is a deep term which incorporates numerous disciplines within itself. And it’s not just restricted to mechanical and electrical alike, and there are many other areas associated with it as well. Robotic Engineers are specialized mechanical engineers who are experts in handling the robots and robotic circuitry. In the recent past, some of the very complex tasks were performed by the humans themselves and the efficiency of the work done were very low. But since the generations are upgrading themselves, and so is the technology the rise of robotics and robotics related machinery is no surprise. And off course to handle all the complex mechanism and circuitry of it, robotic engineers came into being. Now,What do robotics engineers do? Well, their work is mainly related to designing robotic circuitries and making their manufacturing possible. Soft wares like computer aided designing (CAD) and computer aided manufacturing (CAM) are a Robotic Engineer’s best friends. Robotic engineers are responsible for manufacturing systems which could work efficiently and are economic. They are the behind the scene developers of many of our daily life robotic systems. The main purpose of these systems is to give ease to the human race by limiting their burden and presenting with an alternative, for performing some of the complex difficult tasks....

My top ten predictions for 2026 - Cyborgs are upon us

EXCERPT: Not long ago, social speculators talked about how the younger generation grew up with computers, the Internet, and cell phones; that they have fully integrated this technology into their lives. I would maintain that today, it's even more than that. We're past the time when people integrate technology into their lives. Today, people are integrating themselves into the technology. For many in the millennial generation, their very identity has crossed over to the digital realm.

Years ago, you could tell just about everything about a person by spending some time with them. Their identity was contained within their being, and was anchored around the home, job, or school. Identity was clear, and rooted into a fixed location. Today, those roots are spread throughout the collective Internet. A good portion of a millennial's personality is stationed out in that digital world.

The modern human doesn't have an offline and an online personality. They have one personality that is partially stored in their physical being, and partially stored in the digital world. They are an early type of cyborg. The continuation, and acceleration, of this trend is my first prediction for the coming decade.

#1 Ten years from now, the post-millennial generation will have their personality so dispersed that it won't be possible to know them exclusively offline. Their digital footprint will be as much an aspect of who they are as is their appearance, their voice, and their physical actions....

The world's first demonstration of spintronics-based artificial intelligence

RELEASE: Researchers at Tohoku University have, for the first time, successfully demonstrated the basic operation of spintronics-based artificial intelligence. Artificial intelligence, which emulates the information processing function of the brain that can quickly execute complex and complicated tasks such as image recognition and weather prediction, has attracted growing attention and has already been partly put to practical use.

The currently-used artificial intelligence works on the conventional framework of semiconductor-based integrated circuit technology. However, this lacks the compactness and low-power feature of the human brain. To overcome this challenge, the implementation of a single solid-state device that plays the role of a synapse is highly promising.

The Tohoku University research group of Professor Hideo Ohno, Professor Shigeo Sato, Professor Yoshihiko Horio, Associate Professor Shunsuke Fukami and Assistant Professor Hisanao Akima developed an artificial neural network in which their recently-developed spintronic devices, comprising micro-scale magnetic material, are employed. The used spintronic device is capable of memorizing arbitral values between 0 and 1 in an analogue manner unlike the conventional magnetic devices, and thus perform the learning function, which is served by synapses in the brain.

Using the developed network, the researchers examined an associative memory operation, which is not readily executed by conventional computers. Through the multiple trials, they confirmed that the spintronic devices have a learning ability with which the developed artificial neural network can successfully associate memorized patterns from their input noisy versions just like the human brain can.

The proof-of-concept demonstration in this research is expected to open new horizons in artificial intelligence technology -- one which is of a compact size, and which simultaneously achieves fast-processing capabilities and ultralow-power consumption. These features should enable the artificial intelligence to be used in a broad range of societal applications such as image/voice recognition, wearable terminals, sensor networks and nursing-care robots.

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