Questions tagged [definitions]
For questions about the definition of terms used in artificial intelligence research and development, including the definition of intelligence, algorithms, jargon, principles, methodologies, mathematical terms, concepts, topologies, architectures, designs, jargon, and AI domains such as robotics, network training, or automated vehicles.
220 questions
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Is the "gesture typing" feature of mobile devices considered AI?
I have seen mentions of this on Reddit a few years ago (I don't remember when nor have links to the post that I have seen this). It's a feature of mobile devices that allows users to form words by ...
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1answer
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What's Sam Altman's or OpenAI's definition of "AGI as we have traditionally understood it"? [closed]
I read on https://blog.samaltman.com/reflections (January 5, 2025): We are now confident we know how to build AGI as we have traditionally understood it. What's Sam Altman's or OpenAI's definition ...
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What is the difference between SLP and perceptron and do they require non-linearity or not?
I couldn't find the exact answer to my question because the discussions tend go somewhere else, so I want to ask: What is a single-layer perceptron and what makes it different from 'perceptron'? Are ...
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1answer
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What is not an applicaton of AI?
With the AI era, everyone says everything is AI, which doesn't seem to be the case. What is advertised as AI and isn't? For example, (1) Google's PageRank algorithm is called AI, is it really AI? (2) ...
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2answers
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Why are ergodic MDPs also communicating?
An MDP is ergodic if the Markov chain induced by any policy is ergodic, which means any state is reachable from any other state by following a suitable policy. [Source] The part after "which ...
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1answer
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What is Canonical Problem in Artificial and Natural Development
I am reading the book, “Foundations of Computational Intelligence Volume 1 Learning and Approximation” and there is a definition that I cannot understand. Artificial Development is a field of ...
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1answer
271views
How to tell if a model is generative vs. predictive?
How does one tell if a given model is generative AI or predictive AI? Do generative models have more outputs than inputs and vice versa for predictive models?
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1answer
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What constitutes a 'backdoor' attack in machine learning models?
I've recently come across the term "backdoor attack" in the context of machine learning and I'm trying to understand its precise definition and characteristics. From what I gather, backdoor ...
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1answer
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What does "aligned" across domains in domain adaptation?
within Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis paper. I got trouble in understanding their cluster-aware contrastive adaption $\mathcal{L}_\text{cca}$. I ...
2votes
1answer
94views
Is $s_0$ the current state in policy gradients?
As far as I understand from here (source: OpenAI), the objective function in Policy Gradient is: $$J(\pi_{\theta})=E_{\tau\sim\pi_{\theta}}[R(\tau)],$$ where $R(\tau)=r_0+r_1+...+r_T$, with $r_t$ ...
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2answers
321views
Would a pipeline of different models be considered Ensemble Learning?
For example, if I have a problem in which I try to predict if it is a nice day for jogging from a corpus of images, I might first convert the images to text descriptions (ex. raining in forrest, ...
6votes
2answers
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What are the differences between seq2seq and encoder-decoder architectures?
I've read many tutorials online that use both words interchangeably. When I search and find that they are the same, why not just use one word since they have the same definition?
user78615
2votes
0answers
669views
What is 'system card'?
What is 'system card' in these context: https://ai.meta.com/blog/system-cards-a-new-resource-for-understanding-how-ai-systems-work/ Additionally, individual model developers may provide ...
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1answer
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What is the concept of pruning a tree in Machine Learning regression problems?
What is the concept of pruning a tree in Machine Learning regression problems? I am confused and a simple explanation would be great.
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What is Explainable AI and what does it strive for?
I understand the need for Explainability in AI. However, I am uncertain of what is meant by 'making AI explainable'. What needs to be explainable? Is it the output of a model? Does it refer to the ...
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