Jenna Ahart in Nature:
In 2016, Hiroaki Kitano, a biologist and chief executive at Sony AI, challenged researchers to accomplish just that: to develop an AI system so advanced that it could make a discovery worthy of a Nobel prize. Calling it the Nobel Turing Challenge, Kitano presented the endeavour as the grand challenge for AI in science1. A machine wins if it can achieve a discovery on a par with top-level human research.
That’s not something current models can do. But by 2050, the Nobel Turing Challenge envisions an AI system that, without human intervention, combines the skills of hypothesis generation, experimental planning and data analysis to make a breakthrough worthy of a Nobel prize.
It might not even take until 2050.
More here.
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