33 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 ...
23 votes
Accepted

How close are we to creating Ex Machina?

We are absolutely nowhere near, nor do we have any idea how to bridge the gap between what we can currently do and what is depicted in these films. The current trend for DL approaches (coupled with ...
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 ...
  • 35k
17 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 ...
  • 2,309
16 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 ...
  • 1,953
13 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, ...
  • 35k
11 votes
Accepted

When did Artificial Intelligence research first start?

The earliest research into thinking machines was inspired by a confluence of ideas that became prevalent in the late 30s, 40s and early 50s (e.g. formal logic, automata, robots). Although the Turing ...
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 ...
11 votes
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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 ...
10 votes

What kind of education is required for researchers in AI?

As a full-time AI researcher myself, I'd say that a PhD in machine learning would certainly be one useful option. However, in order make much-needed progress, AI needs avoid falling into the trap of ...
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 ...
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 does "death" intuitively mean in the paper "Death and Suicide in Universal Artificial Intelligence"?

The authors do actually give an English definition in terms of the well-known agent formulation of AI: We intend this usage to be intuitive: death means that one sees no more percepts, and takes ...
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 ...
7 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-...
6 votes

Are there any studies which attempt to use AI to guess the human emotion based on the brainwaves?

As per this site Researchers recorded the complex patterns of electrical activity generated by someone’s brain, as the subject listened to someone talking. By feeding those brainwave patterns ...
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6 votes
Accepted

What are some resources on continuous state and action spaces MDPs for reinforcement learning?

There is a small survey of continuous states, actions and time in reinforcement learning in my thesis proposal. Regarding books, Reinforcement Learning: State-of-the-Art seems to be pretty up-to-date ...
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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

How good is AI at generating new, unseen [visual] examples?

We are getting pretty good at image generation, some examples: Radford, Alec, Luke Metz, and Soumith Chintala. "Unsupervised representation learning with deep convolutional generative adversarial ...
5 votes

What kind of education is required for researchers in AI?

Research on AI seems to be getting wider these days (2016). First, "obvious" few departments (no order): Computer Science (e.g. computation theory, algorithms): AI researchers there assume that ...
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5 votes
Accepted

Research for misbehavior detection in WiFI networks

One popular technique for doing this is to use Artificial Immune Systems, an evolutionary computation approach which maintains a population of pattern detectors. Here is a survey paper.
5 votes
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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

Are there any studies which attempt to use AI to guess the human emotion based on the brainwaves?

There has been previous research with promising results cited at length in the following recent article, and although they have limited training data, here is some impressive research for an ...
5 votes
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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
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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 ...
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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