Nobel physics winner's pride at pioneering AI role

"We kind of used neural nets occasionally. And that changed a few years ago, when these very powerful neural nets came along." Neural networks are computer programs that try to mimic the way the human brain recognises patterns in data. Halzen's research on neutrinos -- rare subatomic particles originating in the distant cosmos -- has provided insight into the far reaches of space. - 'Tour de France' dream - He said the IceCube observatory had "solved a very interesting problem for the AI".

"When you look at the sky normally, you see the Milky Way. But when you look at the sky of neutrinos, you see other galaxies, you don't see the Milky Way," he said. "It was only after we used neural nets and machine learning techniques that we finally began to see the Milky Way in our data, which we now have extracted convincingly," he said.

At a time when applied technologies dominate research, the Nobel announcement is "clear recognition of the importance of fundamental research" for "understanding our nature and our origins", said Antonio Zoccoli, president of Italy's National Institute for Nuclear Physics, with which Halzen collaborates.

Halzen said that "doing science is more difficult" now because of funding issues, although "universities are surviving". But he said he was the "wrong person" to talk about funding cuts since his observatory had been spared. Halzen's project has received some $250 million (224 million euros) from the US National Science Foundation.

He joked that he has been writing a proposal and hoped the Nobel announcement would help to get it funded. Asked if he had always dreamt about winning the Nobel prize for physics, he said he preferred cycling as a child. "I'm from Belgium, I wanted to win the Tour de France," he joked. tsz/dt/ide/jxb