35
votes
Accepted
Why is Lisp such a good language for AI?
First, I guess that you mean Common Lisp (which is a standard language specification, see its HyperSpec) with efficient implementations (à la SBCL). But some recent implementations of Scheme could ...
18
votes
Why is Lisp such a good language for AI?
David Nolen (contributor of Clojure and ClojureScript; creator of Core Logic a port of miniKanren) in a talk called LISP as too powerful stated that back in his days LISP was decades ahead of other ...
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18
votes
How to stay a up-to-date researcher in ML/RL community?
There are some wonderful resources for keeping up to date in the ML community. Here are just a handful that a coworker showed me:
Deep Learning Monitor: this site contains hot and new papers along ...
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18
votes
Why do most deep learning papers not include an implementation?
The paper's authors needed to implement their models anyway in order to conduct their experimentations, so why not publish the implementation?
Some papers and authors actually provide a link to their ...
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16
votes
Accepted
What are the mathematical prerequisites for an AI researcher?
Good Mathematics Foundation
Begin by ensuring full competency with intermediate algebra and some other foundations of calculus and discrete math, including the terminology and basic concepts within ...
14
votes
Accepted
What sort of mathematical problems are there in AI that people are working on?
In artificial intelligence (sometimes called machine intelligence or computational intelligence), there are several problems that are based on mathematical topics, especially optimization, statistics, ...
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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 ...
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11
votes
Accepted
Why spend so much time and money to build AIs to play games?
In the book Artificial Intelligence: A Modern Approach (section 5.7, p. 185), Russell and Norvig write
In 1965, the Russian mathematician Alexander Kronrod called chess "the Drosophila of ...
10
votes
Accepted
How much of Deep Mind's work is actually reproducible?
On the suggestion of the O.P. rcpinto I converted a comment about seeing "around a half-dozen papers that follow up on Graves et al.'s work which have produced results of the caliber" and will ...
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10
votes
What are the mathematical prerequisites for an AI researcher?
I work as a professor, and recently designed the mathematics requirements for a new AI major, in consultation with many of my colleagues at other institutions.
The other answers, particularly this one ...
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8
votes
How can people contribute to AGI research?
OpenCog is an open source AGI project. But it is is also incredibly complex and IMHO not a good idea (I have not fully read his theories). You can learn the essential ideas behind OpenCog from the co-...
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8
votes
Accepted
Is it okay to use publicly available Instagram videos to train an AI?
Under US copyright law, this is probably fair use
...but beware of memorization. You may run into more trouble if the AI outputs things very similar to the original work.
Also, consult a lawyer to ...
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7
votes
Accepted
What are some implications of Gödel's theorems on AI research?
Definitely there are a lot of implications for AI, including:
Inference with first-order-logic is semi-decidable. This is a big disappointment for all the folks that wanted to use logic as a primary ...
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6
votes
Where to publish a first article in Deep Reinforcement Learning?
One important consideration here: in the last decade or two the machine learning and artificial intelligence fields, which contains the majority of reinforcement learning work, researchers have ...
- 161
6
votes
Accepted
How can AI researchers avoid "overfitting" to commonly-used benchmarks as a community?
Great question Dennis!
This is a perennial topic at AI conferences, and sometimes even in special issues of journals. The most recent one I recall was Moving Beyond the Turing Test in 2015, which ...
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6
votes
Accepted
What are the state-of-the-art results on the generalization ability of deep learning methods?
Introduction
The paper Generalization in Deep Learning provides a good overview (in section 2) of several results regarding the concept of generalisation in deep learning. I will try to describe one ...
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6
votes
Why do most deep learning papers not include an implementation?
Someone can argue to some human adequate reasons, but there is a bad trend of falsified results in deep learning research papers that propose some nowel solutions or even update state-of-the-art model ...
6
votes
Why do most deep learning papers not include an implementation?
The first reason described in nbro's answer can definitely be an important one; authors may have implemented their software using code that they can't share. There's a lot of research coming out of ...
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5
votes
Accepted
Are there any textual CAPTCHA challenges which can fool AI, but not human?
It's an interesting question about what makes humans unique. There is a good book on the subject titled What Computers Cant Do by Hubert Dreyfus.
One task that a computer can't handle (for now at ...
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5
votes
Are there any textual CAPTCHA challenges which can fool AI, but not human?
A method that could possibly work is utilising optical illusions such as one where two lines down a hallway are identical but one seems longer to the human eye, then they could be prompted with a ...
5
votes
Why is Lisp such a good language for AI?
AI is a wide field
AI is a wide field that goes far beyond machine learning, deep learning, neural networks, etc. In some of these fields, the programming language does not matter at all (except for ...
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5
votes
Accepted
Is private research with low funds still feasible in the field of AI?
Yes, you can do research in Artificial Intelligence with low funds (but you need a lot of time!). Notably, because AI is not the same as applied machine learning (indeed running ML programs on big ...
5
votes
Where to publish a first article in Deep Reinforcement Learning?
I recommend you focus on quality over quantity. Publishing a paper will boost your reputation and make you more recognised within your academic field (AI); however, this is only if the paper provides ...
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5
votes
Is the research by Stanford University students who use logistic regression to predict sexual orientation from facial images really scientific?
One way to criticize the study could be to attack the data on which the study is based on. An image on a social network is not "neutral" (those are not ID photo) and certainly not images from a dating ...
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5
votes
What sort of mathematical problems are there in AI that people are working on?
Most of the math work being done in AI that I'm familiar with is already covered in nbro's answer. One thing that I do not believe is covered yet in that answer is proving algorithmic equivalence and/...
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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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5
votes
How much is currently invested in artificial general intelligence research and development?
In the last years, there have been big investments in AI technologies. For an overview, maybe take a look at this article Artificial Intelligence: Investment Trends and Selected Industry Uses (2019).
...
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5
votes
How do AI researchers imagine higher dimensions?
The most I can visualize or perceive are 4 dimensions. Yes, 4, because I can also watch videos (which have 3 spatial dimensions and 1 temporal one). Remember Einstein's spacetime?
When dealing with $n$...
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4
votes
What are the top artificial intelligence journals?
This link includes various journals for artificial intelligence applied to various domains.
Some of those are:
IEEE Transactions on Human-Machine Systems
Journal of the ACM
Knowledge-based systems
...
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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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