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8
votes
8 answers
Is artificial intelligence really just human intelligence?
Essentially, AI is created by human minds, so is the intelligence & creativity of algorithms properly an extension of human intelligence & creativity, rather than something independent?
I assume that intelligence does not necessarily require…
DukeZhou
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8
votes
3 answers
What is convergence in machine learning?
I came across this answer on Quora, but it was pretty sparse. I'm looking for specific meanings in the context of machine learning, but also mathematical and economic notions of the term in general.
DukeZhou
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8
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2 answers
Why use a recurrent neural network over a feedforward neural network for sequence prediction?
If recurrent neural networks (RNNs) are used to capture prior information, couldn't the same thing be achieved by a feedforward neural network (FFNN) or multi-layer perceptron (MLP) where the inputs are ordered sequentially?
Here's an example I saw…
SuperCodeBrah
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8
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1 answer
What artificial intelligence strategies are useful for summarization?
If I have a paragraph I want to summarize, for example:
Ponzo and Fila went to the mall during the day. They walked for a long while, stopping at shops. They went to many shops. At first, they didn't buy anything. After going to a number of shops,…
dynrepsys
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8
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1 answer
How would one implement a multi-agent environment with asynchronous action and rewards per agent?
In a single agent environment, the agent takes an action, then observes the next state and reward:
for ep in num_episodes:
action = dqn.select_action(state)
next_state, reward = env.step(action)
Implicitly, the for moving the simulation…
Alex
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8
votes
1 answer
What is the impact of using multiple BMUs for self-organizing maps?
Here's a sort of a conceptual question. I was implementing a SOM algorithm to better understand its variations and parameters. I got curious about one bit: the BMU (best matching unit == the neuron that is more similar to the vector being presented)…
Rafael Santos
- 181
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8
votes
1 answer
How does Atlas from Boston Dynamics have human-like movement?
Discussing the video More Parkour Atlas, a friend asked how the robot's movement was so similar to the one from a real human and wondering how this is achieved?
To my knowledge, this is not something the developer "programmed", but instead emerged…
Édouard Lopez
- 181
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8
votes
2 answers
How to deal with large (or NaN) neural network's weights?
My weights go from being between 0 and 1 at initialization to exploding into the tens of thousands in the next iteration. In the 3rd iteration, they become so large that only arrays of nan values are displayed.
How can I go about fixing this?
Is it…
FeedMeInformation
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8
votes
5 answers
Could curiosity improve artificial intelligence?
While thinking about AI, this question came into my mind. Could curiosity help in developing a true AI? According to this website (for testing creativity):
Curiosity in this context refers to persistent desire to learn and discover new things and…
Eka
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8
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2 answers
Which neural network has capabilities of sorting input?
I believe normally you can use genetic programming for sorting, however I'd like to check whether it's possible using ANN.
Given the unsorted text data from input, which neural network is suitable for doing sorting tasks?
kenorb
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8
votes
6 answers
What is the difference between artificial intelligence and robots?
What is the difference between artificial intelligence and robots?
Vishnu JK
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8
votes
2 answers
What does the symbol $\mathbb E$ mean in these equations?
I came across some papers that use $\mathbb E$ in equations, in particular, this paper: https://arxiv.org/pdf/1511.06581.pdf. Here is some equations from the paper that uses it:
$Q^\pi \left(s,a \right) = \mathbb E \left[R_t|s_t = s, a_t = a, \pi…
theonekeyg
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8
votes
1 answer
An intuitive explanation of Adagrad, its purpose and its formula
It (Adagrad) adapts the learning rate to the parameters, performing smaller updates
(i.e. low learning rates) for parameters associated with frequently occurring features, and larger updates (i.e. high learning rates) for parameters associated…
DaddyMike
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8
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3 answers
Does this argument refuting the existence of superintelligence work?
A superintelligence is a machine that can surpass all intellectual activities by any human, and such a machine is often portrayed in science fiction as a machine that brings mankind to an end.
Any machine is executed using an algorithm. By the…
wythagoras
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8
votes
3 answers
Is there any research on the application of AI for drug design?
Is there any research on the application of AI for drug design?
For example, you could train a deep learning model about current compounds, substances, structures, and their products and chemical reactions from the existing dataset (basically what…
kenorb
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