Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [academia]

For questions related to the academic aspects of AI, and the academic fields involving AI.

35 questions
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8 answers

What is artificial intelligence?

What is the definition of artificial intelligence?
Rana Wasif
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19
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3 answers

What are the mathematical prerequisites for an AI researcher?

What are the mathematical prerequisites for understanding the core part of various algorithms involved in artificial intelligence and developing one's own algorithms? Please, refer to some specific books.
Surya Bhusal
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11
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3 answers

How can AI researchers avoid "overfitting" to commonly-used benchmarks as a community?

In fields such as Machine Learning, we typically (somewhat informally) say that we are overfitting if improve our performance on a training set at the cost of reduced performance on a test set / the true population from which data is sampled. More…
Dennis Soemers
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10
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2 answers

Is there a venue to publish negative results in AI/ML domain?

Negative results occur frequently in AI/ML research (and perhaps in other domains too). Most of the time, these results are not published. This is mostly because your typical AI/ML conference doesn't accept such papers. However, are there any venues…
SpiderRico
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9
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2 answers

What kind of education is required for researchers in AI?

Suppose my goal is to collaborate and create an advanced AI, for instance, one that resembles a human being and the project would be on the frontier of AI research. What kind of skills would I need? I am talking about specific things, like what…
user289661
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7
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3 answers

What are some academic AI podcast out there?

I am looking for AI podcasts that are purely academic-oriented that I can use for learning purposes. Thanks for any resource pointers. The AI podcasts I am aware of are (not sure how many of these can be considered academic): The AI Podcast Linear…
Rajib Bahar
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6
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3 answers

What is Reinforcement Learning?

What is the cleanest, easiest way to explain someone who is a non-STEM work colleague the concept of Reinforcement Learning? What are the main ideas behind Reinforcement Learning?
Pluviophile
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4
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1 answer

Hassija et al., "Interpreting Black-Box Models", 2024: Is this a serious paper?

"Cognitive Computation" appears to be a serious peer-reviewed Springer journal. This paper was published therein in 2024: Hassija, Vikas/Vinay Chamola/Atmesh Mahapatra/Abhinandan Singal/Divyansh Goel/Kaizhu Huang/Simone Scardapane/Indro…
Pascal
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4
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2 answers

How should I read a deep learning paper?

I have a background in mathematics and I am accustomed to reading papers with lemma and proofs. When I see a deep learning paper, they seem to be of practical nature. How can I improve my reading and understanding of deep learning papers? To truly…
Mathematician
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4
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2 answers

When we are working on an AI project, does the context (academia, industry or competition) make the process different?

When we are working on an AI project, does the domain/context (academia, industry, or competition) make the process different? For example, I see in the competition most participants even winners use the stacking model, but I have not found anyone…
malioboro
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4
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2 answers

What are some possible projects that can be finished in a 4-week time-frame?

I am taking AI this semester and we have a semester project that will last 4 weeks. We can choose just about anything. So, what are some possible semester projects that can be finished in a 4-week time-frame? Some background information: I am a…
Kate Catalena
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3
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2 answers

How do modern Transformer AI researchers compete with LLMs like ChatGPT?

I'm considering getting into NLP research (that is AI research into Transformers specifically) but my friend made this point which got me concerned, "he said NLP research is dead b/c of ChatGPT". We all know ChatGPT is enormous and highly versatile.…
profPlum
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0 answers

Is there a literature on the time complexity of Neural Networks?

There exist various blog posts describing the time complexity of Fully Connected Neural Networks (1, 2, 3, 4); Convolutional Neural Networks (CNN) (5) and of Long Short-Term Memory (LSTM) networks (6). However, this question seems to be absent in…
Daniel
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3
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2 answers

Why should one focus on spectral operations as a computer vision researcher?

While reading about various types of mathematical operations on tensors, I encountered spectral operations for the first time. The description is as follows (p. 53 of this book) Spectral ops - Functions for transforming in and operating in the…
hanugm
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3
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What is Federated Learning?

How would you explain Federated Learning in simple layman terms for a non-STEM person? What are the main ideas behind Federated Learning?
Pluviophile
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