Back in 2017 Denis Hassabis of Alphabet’s Deep Mind suggested intensifying the cooperation with Neuroscience to advance AI towards Artificial General Intelligence (AGI). Now, two years later, Artificial Neural Networks (ANNs) have made significant progress both in respect to diversity as well as quality.
Humans have a powerful “physical intelligence” to infer physical properties of objects and predict future states in complex, dynamic scenes. This “abstract system of knowledge” is based on physics (for example forces or masses) and psychology (for example desires or beliefs).
As new computational methods continue to be provided by research, intelligent machines are likely to match humans in learning, possibly within the next ten years.
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