Faced with critical problems, the world needs science more than ever and scientists need to work together globally, said Michael Levitt, 2013 Nobel laureate in chemistry.
The world urgently needs to reverse global warming, eradicate poverty and eradicate disease through international cooperation in science, the scientist said on Monday during a speech in Hefei, capital of the country. Anhui province.
“I think we are capable of doing all of these things, but we have to work together on a global scale,” he said during a speech at iFlyTek’s 1024 Global Developer Festival, a three-day event. which started on Sunday. IFlyTek is a leading developer of artificial intelligence, or AI, based in Hefei.
“As a scientist, I have always benefited from open science on a global scale, and I think we have to keep going for it to save the world,” said Levitt, a Stanford University biologist who worked with scientists from all over the world.
“I interacted with dozens of Nobel Prize winners, Turing Prize winners and Fields Medal winners, who made some really great discoveries,” Levitt said.
Former Stanford President John Hennessy said in a leadership book that there is a really very important characteristic of a leader. You have to be able to learn. But if you are a leader, people won’t tell you what you want to hear, and then you stop learning, ”Levitt said, adding that people should always be open to learning.
Along with Arieh Warshel and Martin Karplus, Levitt received the Nobel Prize in Chemistry in 2013 for using computers to simulate biological molecules.
The theme of his speech on Monday was “The Secret of Life, the Three Intelligencies, Protein Folding and AI”.
He thinks people talk a lot about human intelligence and machine intelligence, but often forget that the intelligence of biology is the foundation of the other two.
“Machine learning depends on all the science that came before. They have to build on the work of thousands of scientists who determined what the structures were, who found out what nature was telling us,” he said. declared.
He noticed that AI developers were applying the principles of biology to solve some difficult problems.