The next generation of robots may save the day in health care

article Updated March 22, 2020 12:50:36A new generation of advanced robotic arms could help humans keep their jobs and care for those with disabilities, a team of researchers at the Massachusetts Institute of Technology (MIT) has said.

The team, led by MIT professor of electrical and computer engineering Brian Bostrom, has described how it has developed an algorithm that enables machines to perform complex tasks with a high degree of accuracy, without the need for costly hardware or software. 

In their paper, published in Nature Medicine, Bostram and his colleagues describe how they have created a neural network that allows robots to do the tasks humans would normally be able to do on their own.

“A robot with a similar level of performance to the human brain can perform complex and precise tasks,” Bostrum told Reuters.

“In our experiments, we demonstrated a neural net that can solve complex problems at a much lower level of complexity than humans.”

Bostrom said the new system, which they called “machine-learning neural networks,” could also be used in healthcare settings to diagnose and treat complex illnesses such as diabetes, high blood pressure, asthma, or COPD. 

“A neural network can understand the problem at hand and figure out a way to solve it,” he said. 

According to Bostral’s calculations, the neural network is capable of solving a problem as simple as predicting which of a number of numbers will occur before a given value, in this case 1,000,000.

Bostraum said it could also perform some very complex tasks, such as predicting the optimal distance between a person’s hands and feet, the time it takes for a car to turn left or right, and the likelihood of a person dying within a few days of being born. 

For example, Boprom said, the new neural network could be used to predict a patient’s condition and how to manage that patient.

In addition to the neural networks, Bodeum said the system also provides data to help machines perform tasks humans normally have difficulty with, such a predicting the time of a specific date.

Bostral said he and his team hope to begin using the system in hospitals as early as next year, and that it could eventually be used by people in many different industries, including manufacturing, engineering, transportation, and manufacturing related services.

“This is a game changer,” he told Reuters, “because we are able to develop robots that have these capabilities, that are capable of very sophisticated tasks that we previously could not do.”

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