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 ...
- 9,392
11
votes
Accepted
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 ...
- 7,266
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 ...
- 171
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 ...
- 41.4k
5
votes
Accepted
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 ...
- 4,295
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 ...
- 238
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 It's a bit out of date (from 2008), and published as a Springer-Verlag monograph (which tends to ...
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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, ...
- 3,767
3
votes
Accepted
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 ...
- 221
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 ...
- 3,857
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 ...
- 562
2
votes
What is the current research in artificial intelligence in the field of data compression?
It is already combined.
Adaptive entropy techniques are already used in most of the best compression encoders. This is true for file encoders, video encoders, and audio encoders. We use it in the ...
- 7,513
2
votes
How good is AI in math?
The question of whether nets can be trained to take over more and more of what was entirely within the domain of production systems was asked (to the dismay of those who worked on first order ...
- 7,513
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 ...
- 2,023
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/...
- 121
2
votes
What are the state-of-the-art results in OpenAI's gym environments?
There is the leaderboard page at the gym GitHub repository that contains links to specific implementations that "solve" the different gym environments, where "to solve" means "...
- 41.4k
2
votes
Why business experts should prefer state-of-the-art deep neural networks over simpler models?
There is another factor not yet mentioned.
Classic ML techniques potential is usually capped, we know already the limitations and the increased sophistication required to improve accuracy. Of course ...
- 1,219
2
votes
Why business experts should prefer state-of-the-art deep neural networks over simpler models?
Short answer: because they are not experts in ML (and they should not be, otherwise they won't be asking), but are bombarded by buzzwords e.g. AI, blockchain, ChatGPT.
Do you have any friends who put ...
- 393
1
vote
Accepted
The SOTA of derivative-free optimization
The problem is not the input size but the model size.
Indeed, derivative-free/zero-order optimization methods usually tend to estimate a descent direction that correlates with some notion of local ...
- 2,632
1
vote
Accepted
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.
...
- 3,000
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 ...
1
vote
Accepted
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 ...
- 41.4k
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 ...
- 758
1
vote
Accepted
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 ...
- 124
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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