Yes, we could memorize lots of specific examples of what happens in some particular computational system. And maybe we could even see some (“computationally reducible”) patterns that would allow us to do a little generalization. But the point is that computational irreducibility means that we ca...
The capabilities of something like ChatGPT seem so impressive that one might imagine that if one could just “keep going” and train larger and larger neural networks, then they’d eventually be able to “do everything”. And if one’s concerned with things that are readily accessible to im...
The challenges of training neural networks are well-known (see: Why is it hard to train deep neural networks?). Additionally, neural networks have a very large number of parameters, which restricts us to solely first-order methods (see: Why is Newton's method not widely used in machine lea...
Memristor, the core electronic component in neuromorphic chips, has been demonstrated to function similarly to brain synapses because it has plasticity similar to that of the brain. It is utilized to make artificial structures that mimic the brain’s abilities to process and memorize data. Until re...
a great many synaptic connections are weakened so that connections are more available for new learning the next day.Continuing with the parked car example,the exact location of the parked car is not needed again,so the connections are weakened.In fact,if it were not,you might ...
We use this type of learning when we memorize multiplication tables ,for example.A slightly more complex form of learning is by direct instruction. This type of learning requires more understanding and inference than role learning since the knowledge must be transformed into an operational form ...
It is rarely useful to have a NN simply memorize a set of data, since memorization can be done much more efficiently by numerous algorithms for table look-up. Typically, you want the NN to be able to perform accurately on new data, that is, to generalize. There seems to be no term ...
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time, information wasn’t easily accessible nor available, so this method solved for the problem of the age; large lectures halls were the best available method for sharing and spreading knowledge. “Education” for students became “take copious notes and memorize as much information as possible...
he himself extracted patterns in his mind during the project and wound up as one of the ten highest-rated Go players in the United States, with a deep understanding of the game. I suggested in section 3.1 that Searle, if he attempted to memorize the Turing machine program in his "Chinese...