With technology making bounding leaps forward every day, it’s no surprise that scientists are getting closer to developing robots that can learn just like humans do. By applying quantum effects to reinforcement learning when trying to teach artificial intelligence, scientists found that the machine learned much quicker. This research also holds some importance for studying human brains. It could help us to better understand how the biological brain learns and matures. The ultimate goal of the research is to determine if a true artificial intelligence can be produced.
Key Takeaways:
- Quantum physics has some spooky, anti-intuitive effects, but it could also be essential to how actual intuition works, at least in regards to artificial intelligence.
- In a new study, researcher Vedran Dunjko and co-authors applied a quantum analysis to a field within artificial intelligence called reinforcement learning, which deals with how to program a machine to make appropriate choices to maximize a cumulative reward.
- One of the open questions we are interested in is whether quantum effects can play an instrumental role in the design of true artificial intelligence.”
“Quantum physics has some spooky, anti-intuitive effects, but it could also be essential to how actual intuition works, at least in regards to artificial intelligence.”
Read the full article here: Quantum artificial intelligence could lead to super-smart machines
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