> Right now we're in the "low-hanging fruit" phase of (1) computers that are powerful enough to run neural networks, combined with (2) feedback algorithms that allow networks with lots of layers to learn effectively.
I'm not so sure about that. Places like Deepmind are not satisfied with simply having AI that does straight forward pattern matching problems (Though that's very important). They are moving into more complex problems like transfer learning, reinforcement learning and unsupervised learning for more complex, real world problems solving. They also seem to be making good progress on this as well.
I'm not so sure about that. Places like Deepmind are not satisfied with simply having AI that does straight forward pattern matching problems (Though that's very important). They are moving into more complex problems like transfer learning, reinforcement learning and unsupervised learning for more complex, real world problems solving. They also seem to be making good progress on this as well.