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Questions tagged [architecture]

For questions about AI architecture specifically. (For general software architecture questions, use the "software-architecture" tag.

7
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1answer
79 views

Are Modular Neural Networks more effective than large, monolithic networks at any tasks?

Modular/Multiple Neural networks (MNNs) revolve around training smaller, independent networks that can feed into each other or another higher network. In principle, the hierarchical organization ...
3
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1answer
52 views

Neural network architecture for comparison

When someone wants to compare 2 inputs, the most widespread idea is to use a Siamese architecture. Siamese architecture is a very high level idea, and can be customized based on the problem we are ...
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0answers
15 views

Is Hebbian learning the progenitor of AI?

Hebb's postulate attempts to explain associative learning via the processes of sampling (using sensors), emitting responses and receiving feedback. This is a form of control orientated architecture ...
0
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3answers
115 views

How does Tara AI work?

Cisco and other companies are using Tara AI—a matching tool that connects IT projects with freelancers who have the exact skills required to complete them. Looking for an explanation of how Tara AI ...
1
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2answers
110 views

Are artificial networks based on the perceptron design inherently limiting?

At the time when the basic building blocks of machine learning (the perceptron layer and the convolution kernel) were invented, the model of the neuron in the brain taught at the university level was ...
1
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2answers
161 views

How to teach a Model-based reflex agent for doing some task using machine learning methods?

I would like to know how to teach an agent for performing prediction of the severity of disease and also for alerting patients using machine learning methods. I found the Model-based reflex agent ...
0
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1answer
398 views

How can I create my own Google duplex?

I am trying to create my own variant of Google duplex however, it won't make calls but just have a real time conversation. My question is, where and how to start? How do I train my model with real ...
7
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3answers
182 views

Compound intelligence?

A question about swarm intelligence as a potential method of strong general AI came up recently, and yielded some useful answers and clarifications regarding the nature of swarm intelligence. But it ...
0
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6answers
1k views

difference between ai-architecture and ai-model?

What is the difference between AI architecture and AI models. Are both of them same? if not please distinguish both of them and give example of each. And also suggest books/ papers that delve on AI ...
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0answers
69 views

Algorithms that connect neurons to previous layers as well as next

Are there any algorithms, or any evidence to decide or to suggest it would be better to connect a neuron node in a layer l, in a neural network to particular nodes ...
9
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1answer
701 views

Why is the merged neural network of Alpha Go Zero more efficient than two separate neural networks?

Alpha Go Zero contains several improvements compared to its predecessors. Architectural details of Alpha Go Zero can be seen in this cheat sheet. One of those improvements is using a single neural ...
3
votes
1answer
192 views

What type of reinforcement learning can I do restricted to ~200MB on an average smartphone?

This concerns a set of finite, non-trivial, combinatorial games [M] in the form of an app. A sample game can be found here. Because this is a mass market product, we can't take up too much space, ...
6
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2answers
318 views

What are the parts and the general framework of OpenCog?

OpenCog is an open source AGI-project co-founded by the mercurial AI researcher Ben Goertzel. Now Ben Goertzel writes a lot of stuff, some of it really whacky. On the other hand he is clearly very ...
2
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1answer
89 views

What linear rectifier is better?

What rectifier is better in general case of Convolutional Neural Network and how about empirical rules to use each type? ReLU PReLU RReLU ELU Leacky ReLU
3
votes
2answers
186 views

Are there any learning algorithms as powerful as “deep” architectures?

This article suggests that deep learning is not designed to produce the universal algorithm and cannot be used to create such a complex systems. First of all it requires huge amounts of computing ...