For questions related to "state of the art" (SOTA) models in machine learning and, in general, AI.
Questions tagged [state-of-the-art]
32 questions
11
votes
4 answers
What are the domains where SVMs are still state-of-the-art?
It seems that deep neural networks and other neural network based models are dominating many current areas like computer vision, object classification, reinforcement learning, etc.
Are there domains where SVMs (or other models) are still producing…

Steven Davis
- 177
- 5
9
votes
4 answers
What is the most sophisticated AI ever made?
What is the most advanced AI software/system that humans have made to date, and what does it do?

Lord Thanatos
- 101
- 6
8
votes
3 answers
What are the state-of-the-art approaches for detecting the most important "visual attention" area of an image?
I'm trying to detect the visual attention area in a given image and crop the image into that area. For instance, given an image of any size and a rectangle of say $L \times W$ dimension as an input, I would like to crop the image to the most…

Tina J
- 973
- 6
- 13
8
votes
3 answers
Is there any board game where a human can still beat an AI?
Significant AI vs human board game matches include:
chess: Deep Blue vs Kasparov in 1996,
go: DeepMind AlphaGo vs Lee Sedol in 2016,
which demonstrated that AI challenged and defeated professional players.
Are there known board games left where a…

kenorb
- 10,423
- 3
- 43
- 91
7
votes
1 answer
What are the state-of-the-art results in OpenAI's gym environments?
What are the state-of-the-art results in OpenAI's gym environments? Is there a link to a paper/article that describes them and how these SOTA results were calculated?

Tofara Moyo
- 71
- 2
6
votes
2 answers
What is the current research in artificial intelligence in the field of data compression?
What is the current research in artificial intelligence and machine learning in the field of data compression?
I have done my research on the PAQ series of compressors, some of which use neural networks for context mixing.

user15736
- 71
- 2
6
votes
2 answers
What is the current state of AGI development?
Could you please provide some insight into the current stage of developments in AGI area? Are there any projects that had breakthroughs recently? Maybe some news source to follow on this topic?

Alex
- 337
- 2
- 11
6
votes
2 answers
What is the current state-of-the-art in Reinforcement Learning regarding data efficiency?
In other words, which existing reinforcement method learns with fewest episodes? R-Max comes to mind, but it's very old and I'd like to know if there is something better now.

rcpinto
- 2,089
- 1
- 16
- 31
4
votes
2 answers
How good is AI in math?
Currently, AI is advancing fast in deep learning: Entire human chess knowledge learned and surpassed by DeepMind's AlphaZero in four hours.
As a layman, I'm taking this as a quite powerful searching algorithm, using artificial neural networks to…

athos
- 167
- 7
4
votes
1 answer
Why multiplayer, imperfect information, trick-taking card games are hard for AI?
AI reached a super-human level in many complex games such as Chess, Go ,Texas hold’em Poker, Dota2 and StarCarft2. However it still did not reach this level in trick-taking card games.
Why there is no super-human AI playing imperfect-information,…

Cohensius
- 403
- 3
- 14
3
votes
2 answers
What are some books or state of the art papers about the development of a strong-AI?
I am looking for books or to state of the art papers about current the development trends for a strong-AI.
Please, do not include opinions about the books, just refer the book with a brief description. To emphasize, I am not looking for books on…

pasaba por aqui
- 1,282
- 6
- 21
3
votes
2 answers
Why business experts should prefer state-of-the-art deep neural networks over simpler models?
I have encountered this pattern for a long time (5+ years). So many professionals come with an interesting domain-specific problem, and they demand using state-of-the-art deep learning models: take it or leave it.
I understand that technology…

Eduard
- 211
- 2
- 7
3
votes
0 answers
Speaker Identification / Recognition for less size audio files
I am working on speaker identification problem using GMM (Gaussian Mixture Model). I have to just identify one user present in the given audio, so for second class noise or silent audio may use or not just like in image classification for an object…

Posi2
- 358
- 2
- 16
2
votes
0 answers
Today's Practicality of Bayesian Neural Networks
Just having heard lately about BNNs (wow, ANNs and CNNs are clear; now there's a B? What's that? Ahh, Bayesian ;-)) and quickly getting their main idea and focus, that is, weights not being pure static numbers anymore, but instead described by a…

Mathy
- 121
- 2
2
votes
1 answer
What are the state-of-the-art AI methods to recognize elements on webpages or the purpose of webpage?
I'm curious to know about the capabilities of AI today in 2022. I know that AI has become pretty good at recognizing things like objects in photos. But what about when it comes to elements in HTML? Would it be feasible to use AI to determine things…

kenshin9
- 121
- 1