14 votes

What are the domains where SVMs are still state-of-the-art?

State-of-the-art is a tough bar, because it's not clear how it should be measured. An alternative criteria, which is akin to state-of-the-art, is to ask when you might prefer to try an SVM. SVMs have ...
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11 votes
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What is the most sophisticated AI ever made?

In my opinion, this would be Phaeaco, which was developed by Harry Foundalis at Douglas Hofstadter's CRCC research group. It takes noisy photographic images of Bongard problems as input and (using a ...
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9 votes

Is there any board game where a human can still beat an AI?

Not all games (or even board games) are computationally algorithmic. Even the least skilled player is likely to trounce the hottest pattern-matching algorithm in a game of Pictionary (for example). ...
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7 votes

What are the domains where SVMs are still state-of-the-art?

Deep Learning and Neural Networks are getting most of the focus because of recent advances in the field and most experts believe it to be the future of solving machine learning problems. But make no ...
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7 votes
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Is there any board game where a human can still beat an AI?

For many years, the focus has been on games with perfect information. That is, in Chess and Go both of us are looking at the same board. In something like Poker, you have information that I don't have ...
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5 votes

Which AGI systems have already been implemented and tested?

As far as I know, no "true" (i.e. as intellectual and physically capable as a human) artificial general intelligent system (AGI) has been implemented or is practically useful (this is ...
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  • 33.8k
5 votes
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How good is AI in math?

Nim was actually one of the first games ever played by an electronic machine. It was called the Nimatron and was displayed at the 1940 New York World's Fair. It is also well known that neural networks ...
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4 votes

What is the most sophisticated AI ever made?

In addition to the answers already posted, I think IBM's Watson deserves a mention. It did something pretty impressive with its Jeopardy win, possibly as impressive as AlphaGo. Sadly, since then, ...
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  • 3,677
4 votes

Can we give a command to an AI and wait for it to do the job without explicitly telling it how to do it?

Normally when you write a program, you are acting like a boss that micromanages the job, telling the workers how to accomplish a task, perhaps without even letting them know what the purpose is. What ...
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4 votes

What are some books or state of the art papers about the development of a strong-AI?

There is actually a book called Artificial General Intelligence by Ben Goertzel and Cassio Pennachin. It's a bit out of date (from 2008), and published as a Springer-Verlag monograph (which tends to ...
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3 votes

What is the current state of AGI development?

The state of AGI research is pursuing the few problems that we have been able to break off from the gigantic research problem. These are terms which can be more thoroughly looked into. A few of the ...
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3 votes
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What research has been done in the domain of “general game playing”?

If you haven't already come across DeepMind's advances in developing general game playing AI, you can take a look at it's DQN research. The paper describes how their deep reinforcement learning system ...
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2 votes

What is the most sophisticated AI ever made?

AlphaGo is the most sophisticated Artificial Intelligence program created by humans. It is a computer program that is developed by Google DeepMind to play the board game "Go". The game is ...
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  • 1,953
2 votes

Is there any board game where a human can still beat an AI?

Artificially intelligent computer programs should be able to be at the same level or beat humans at every game that we play. This is because games follow rules that are scriptable, and artificial ...
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2 votes

What are the state-of-the-art approaches for detecting the most important "visual attention" area of an image?

You can search for the following paper titles: A Deep Multi-Level Network for Saliency Prediction. Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. You can code in ...
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  • 532
2 votes

What is the state of the art in melody generation?

you do not need ai for that, just a little bit of math / statistics: audio: https://m.soundcloud.com/user-919775337/sets/algorithmic-reinterpretation method: https://stats.stackexchange.com/questions/...
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1 vote
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Reinforcement learning algorithms for large problems that are not based on a neural network

There are many state-of-the-art reinforcement learning algorithms for large problems with multidimensional continuous state spaces and actions. All of them rely on some sort of function approximator. ...
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1 vote

Are Markov Random Fields and Conditional Random Fields still used in computer vision?

In the Image-to-Image Translation with Conditional Adversarial Networks paper (popularly known as pix2pix), they used a Markovian Discriminator to effectively model the image as a Markovian Random ...
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1 vote
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Is it feasible using today's technology to use an AI training algorithm to custom teach a robot to do common household cores?

I would suggest using a neural network with back propagation. From what I know, they can be applied to many different circumstances and work well. For your more simpler and repetitive tasks like ...
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  • 126
1 vote

What are modern state-of-the-art solutions in prediction of time-series?

An interesting model I encountered in a course is Facebook Prophet. Prophet takes into account trends, seasonality, and holidays for its predictions. As you can probably guess, this is a model that ...
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1 vote
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What is the current state-of-the-art in unsupervised cross-lingual representation learning?

The blog post Unsupervised Cross-lingual Representation Learning (2019), the related paper and slides by Sebastian Ruder (a researcher currently at DeepMind) summarize what you are looking for. In ...
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  • 33.8k
1 vote

What are some books or state of the art papers about the development of a strong-AI?

The paper Artificial General Intelligence: Concept, State of the Art, and Future Prospects (2014), by Ben Goertzel (one of the people that are really still very interested in AGI), surveys the field ...
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  • 33.8k
1 vote

What is the current state-of-the-art in Reinforcement Learning regarding data efficiency?

There is a very interesting learning agent. They call it Neural-Episodic-Control. Here is the link for the paper: https://arxiv.org/abs/1703.01988 . Their experiments show that NEC requires an order ...
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