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When did Artificial Intelligence research first start?
When did research into Artificial Intelligence first begin? Was it called Artificial Intelligence then or was there another name?
WilliamKF
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Why is the merged neural network of AlphaGo Zero more efficient than two separate neural networks?
AlphaGo 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 network that calculates move probabilities and the…
Demento
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11
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4 answers
Is there any open source counterpart to the IBM Watson?
I am looking for something similar to IBM Watson but open source.
arash moradi
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How can I make my network treat rotations of the input equally?
I'm attempting to program my own system to run a neural network. To reduce the number of nodes needed, it was suggested to make it treat rotations of the input equally.
My network aims to learn and predict Conway's Game of Life by looking at every…
Aric
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Why spend so much time and money to build AIs to play games?
I was reading about John McCarthy and his orthodox vision of Artificial Intelligence. To me, it seems like he was not very much in favour of resources (like time and money) being used to make AIs play games like Chess. Instead, he wanted more to…
Suraj Shah
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11
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How do mutation and crossover work with real-valued chromosomes?
How exactly are "mutation" and "cross-over" applied in the context of a genetic algorithm based on real numbers (as opposed to just bits)? I think I understood how those two phases are applied in a "canonical" context where chromosomes are strings…
danidemi
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11
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2 answers
Will computers be able to understand user emotions?
I am researching affective computing. Particularly, I'm studying the part of emotion recognition, i.e. the task of recognising the emotions that are being felt by the user/subject. For example, affectiva can be used to this end. I have concerns not…
Pablo Arnau González
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In Computer Vision, what is the difference between a transformer and attention?
Having been studying computer vision for a while, I still cannot understand what the difference between a transformer and attention is?
novice
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What is wrong with the idea that the AI will be capable of omniscience?
In the context of artificial intelligence, the singularity refers to the advent of an artificial general intelligence capable of recursive self-improvement, leading to the rapid emergence of artificial superintelligence (ASI), the limits of which…
Aaron
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When should you not use the bias in a layer?
I'm not really that experienced with deep learning, and I've been looking at research code (mostly PyTorch) for deep neural networks, specifically GANs, and, in many cases, I see the authors setting bias=False in some layers without much…
Nikos Tsakas
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How is Bayes' Theorem used in artificial intelligence and machine learning?
How is Bayes' Theorem used in artificial intelligence and machine learning?
As a high school student, I will be writing an essay about it, and I want to be able to explain Bayes' Theorem, its general use, and how it is used in AI or ML.
Murat Kaan Meral
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How can these 7 AI problem characteristics help me decide on an approach to a problem?
If this list1 can be used to classify problems in AI ...
Decomposable to smaller or easier problems
Solution steps can be ignored or undone
Predictable problem universe
Good solutions are obvious
Uses internally consistent knowledge base
Requires…
user4856
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2 answers
Can someone explain R1 regularization function in simple terms?
I'm trying to understand the R1 regularization function, both the abstract concept and every symbol in the formula.
According to the article, the definition of R1 is:
It penalizes the discriminator from deviating from the Nash Equilibrium via…
Aviad Hadad
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Can I start with perfect discriminator in GAN?
In many implementations/tutorials of GANs that I've seen so far (e.g. this), the generator and discriminator start with no prior knowledge. They continuously improve their performance with training. This makes me wonder — is it possible to use a…
mark mark
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What is the purpose of Decoder mask (triangular mask) in Transformer?
I'm trying to implement transformer model using this tutorial. In the decoder block of the Transformer model, a mask is passed to "pad and mask future tokens in the input received by the decoder". This mask is added to attention weights.
import…
Uchiha Madara
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