Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [state-of-the-art]

For questions related to "state of the art" (SOTA) models in machine learning and, in general, AI.

35 questions
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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
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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
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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
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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…
Mary
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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
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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
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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
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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
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How close have we come to passing the Turing Test?

The Turing Test has been the classic test of artificial intelligence for a while now. The concept is deceptively simple - to trick a human into thinking it is another human on the other end of a conversation line, not a computer - but from what I've…
auden
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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 StarCraft2. However it still did not reach this level in trick-taking card games. Why there is no super-human AI playing imperfect-information,…
Cohensius
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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
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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
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What is the current state of AI regarding features of Moravec's paradox, such as sensorimotor & perception skills?

Moravec's paradox is the observation in artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational…
Qwokker
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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
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What are modern state-of-the-art solutions in prediction of time-series?

I wanted to ask you about the newest achievements in time series analysis (mostly prediction). What state-of-the-art solutions (as in frameworks, papers, related projects) do you know that can be used for analysing and predicting time series? I am…
GKozinski
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