"The human brain is the most complex object in the universe," he said. "Both the brain and AI involve big data training, but the brain develops its neural network organically with significant structural changes over decades, whereas AI's learning structure is static and requires a huge amount of data and energy."
In the second game, Ke played the white stones, with AlphaGo taking the black. Comparing the second match with the first, which he lost by half a point on Tuesday, Ke said the second was far more intense and thrilling.
"Machines excel in activities that have clearly defined rules and straightforward goals, such as video or board games, but they struggle to perform tasks in environments that involve many changing variables," Guo said when talking about a match scheduled this month between world Go champion Ke Jie and AlphaGo, an AI program developed by Google.
He said computer scientists can learn from neuroscientists about how the brain stores and processes information, to develop AI that can learn dynamically, transferring skills learned from one task to new ones, while keeping its energy requirement low.
Most AI research focuses on imitating and maximizing a small part of the brain's function, such as sensory recognition. However, higher cognitive functions like language and emotions are still too complex for computers, said Guo Aike, a biophysicist with the academy.
The events include the display of traditional customs, a food festival and cultural performances for different age groups.