Science news in pictures | Letters article Scientists have been creating tiny robots that can learn and learn to be better than humans, using their knowledge of the universe as their learning guide.
The technology is called a “brain-machine interface” and is being pioneered in areas including medicine and robotics.
But its potential is far-reaching, and it could also help to bridge the gap between humans and machines, according to researchers at the University of Texas at Austin and the University for Applied Sciences (SAAS).
They recently announced the first ever “brain machine interface” device.
The device is made up of a computer chip and an electrode that can be placed in a person’s brain.
It can be programmed to respond to the brainwaves of a person, and can then be controlled by a robotic arm that moves around the brain.
The robot has to learn how to recognize and understand speech and move about a room.
The team has developed the device by developing a prototype, and they hope to build more devices with the technology.
“We wanted to make a prototype that could teach robots to understand human speech and to perform certain tasks,” said Michael Rau, a professor of mechanical engineering at SAAS and the lead author of the paper describing the work.
“But we also wanted to show that the brain-machine-interface can be developed into a practical device that can serve as a learning tool.”
Rau said that the team developed the prototype to help robots learn to recognize a person and use that to make decisions.
For example, the robot would use the data from a video game and an image of a face to learn the words to a sentence, for example.
It could then use the brainwave data to identify a person as a candidate for training.
This was demonstrated by a robot that had to learn to identify faces from a list of faces that the researchers provided it with.
The researchers have created the device using a custom chip that allows them to build up an electrical current by heating and then cooling a piece of metal.
The electrode, which is placed in the brain, then conducts electrical current through the metal, and the robot responds to the current by responding with its own brainwave.
The prototype was shown off during a demonstration of the device at the 2018 International Conference on Robotics and Automation.
The system is designed to be portable, so that the robot can be used anywhere in the world.
It also has the potential to help researchers and students learn new skills.
The new device was created using an array of computer chips that each contain a brainwave sensor, which can detect the electrical activity of the neurons in a particular brain region.
The brainwave sensors can be installed in the chip and connected to a robotic arms.
The robotic arms can be controlled remotely.
The devices are also being used to build robots for research.
Rau told Business Insider that the next step is to design the technology so that it can be applied to the entire body, instead of just one specific area of the brain for the purposes of teaching robots to respond.
This would allow the brain to learn more complex and complex tasks, such as recognizing speech, and be able to learn better with each step.
The goal is to make the device a useful tool for humans, as well as other machines, to use to help them learn new tasks.