Robot self-study science
Experts in Wales and the United States have successfully built inference machines, hypothesized and conducted scientific experiments.
Experts in Wales and the United States have successfully built inference machines, hypothesized and conducted scientific experiments. This is a new breakthrough in the field of artificial intelligence.
Adam robot in the laboratory.Photo: Reuters.
At Aberystwyth University in Wales, experts build a robot named Adam capable of conducting experiments on the metabolic mechanism of yeast, inferring the results and planning a trial Next test. This is the first robot to study science.
'Adam can make a hypothesis and then experiment. We checked the accuracy of the results it found, 'revealed the Ross King, the lead designer.
King said artificial intelligence experts have pursued the 'machine scientist' project since the 1960s of the last century. 'When the US sends robots to Mars, they really want them to do the tests themselves. Now we can do that, ' King said.
The King's next robot will be able to think more strongly. Eve, the name of this robot, will be tasked with researching new drugs. King hopes that robots who know thinking like Adam and Eve will become effective tools for fighting against disease.
In addition to finding new drugs, Adam and Eve can understand complex biological systems, explore the universe or model climate. However, now they only perform odd jobs.
Ross King in Aberystwyth University's laboratory.Photo: Reuters.
When Aberystwyth University's results were published in Science, two other scientists from Cornell University (USA) also announced a computer program capable of finding the fundamental laws of physics related to transfer. dynamics of pendulum. It deciphered the momentum laws of the eminent Isaac Newton physicist without any background knowledge of physics.
Hod Lipson, one of the two inventors, did not think that robots could replace scientists in the near future, but he believed they could handle most of the repetitive operations in the lab.
'One of the biggest challenges of modern science is finding the basic principles in areas with too much data. Robots that think can help us speed up information processing to find earlier principles , 'Lipson said.
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