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 ...
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 ...
John Doucette's user avatar
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 ...
NietzscheanAI's user avatar
8 votes

What is artificial intelligence?

Over the years, many people attempted to define artificial intelligence. A lot of those definitions are summed up by Stuart Russell and Peter Norvig in their book Artificial Intelligence - A Modern ...
Omar K's user avatar
  • 113
7 votes
Accepted

What are the pros and cons of studying machine learning before deep learning?

That question doesn't really make sense: deep learning is a sub-topic of machine learning, so you can't really 'skip' it. It's a bit like "I want to learn about trigonometry, but do I need to do ...
Oliver Mason's user avatar
  • 5,387
7 votes

What are some possible projects that can be finished in a 4-week time-frame?

Welcome to AI.SE @Kate_Catelena! I teach AI courses at the undergraduate level, and so have seen a lot of semester projects over the years. Here are some templates that often lead to exciting ...
John Doucette's user avatar
6 votes

Is it necessary to know the details behind the AI algorithms and models?

This is a good question. I tend to think the answer is yes it is necessary to know the details, because a person without mathematical understanding of these algorithms cannot consistently make a model ...
John Doucette's user avatar
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 ...
John Doucette's user avatar
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 ...
Eric Platon's user avatar
  • 1,510
5 votes
Accepted

What are some academic AI podcast out there?

Also a few others options (that I listen to) include: Learning Machines 101 Machine Learning Guide Machine Learning - Software Engineering Daily
knapptimezzz's user avatar
5 votes

What is Reinforcement Learning?

Reinforcement Learning can be explained by a few equations. However I assume that this is not what you are looking at since the explanation should be for someone having a non-STEM background. Not to ...
Tinu's user avatar
  • 628
5 votes

What is Reinforcement Learning?

The famous book Reinforcement learning: an introduction by Sutton and Barto provides an intuitive description of reinforcement learning (that everyone is possibly able to understand). Reinforcement ...
nbro's user avatar
  • 40.5k
5 votes
Accepted

What is Reinforcement Learning?

Humans are set loose in the world and go about their days doing stuff. Whenever they do specific things, their brain sends them good signals (endorphins, joy, etc.) or bad signals (pain, sadness, etc....
NotThatGuy's user avatar
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 $n$...
nbro's user avatar
  • 40.5k
4 votes

How can AI researchers avoid "overfitting" to commonly-used benchmarks as a community?

In addition to the points already listed in John's answer, some factors that can help to reduce / mitigate the risk of overfitting to commonly-used benchmarks as a research community are: ...
Dennis Soemers's user avatar
  • 10.3k
4 votes

What is artificial intelligence?

Intelligence A measure of the strength of a decision-making agent relative to other decision-making agents, in regard to a given task or set of tasks. The medium is irrelevant—intelligence is ...
DukeZhou's user avatar
  • 6,237
4 votes

What are some academic AI podcast out there?

I'll add a few, though I'm also not sure what exactly would constitute an "academic" podcast. I'm not going to link everything, they should be easy enough to find. Partially derivative Data sceptic ...
BlindKungFuMaster's user avatar
4 votes
Accepted

How does publishing in the deep learning world work, with respect to journals and arXiv?

Let me answer your questions one by one. Submit it to a conference Let's start with the optimistic case. Say your paper gets accepted! You can upload your preprint on arXiv with the "arXiv.org ...
user1825567's user avatar
4 votes
Accepted

When we are working on an AI project, does the context (academia, industry or competition) make the process different?

I cannot comment about the process for AI for academia. I can compare AI for competitions and AI for business. To clarify whatever I say is about ML not any other AI techniques. The process might be ...
Aseem Bansal's user avatar
4 votes

What are some simple open problems in multi-agent RL that would be suited for a bachelor's thesis?

I have several undergraduates working on multiagent deep RL problems for their theses, but most of them have been working for 8-9 months. 2 might be a stretch. Good multiagent deep RL problems for a ...
John Doucette's user avatar
4 votes

How should I read a deep learning paper?

Adding something to nbro answer, from my personal experience there are also some hints that can quickly tell you if you're dealing with a good machine learning paper, i.e. worth to read in its ...
Edoardo Guerriero's user avatar
3 votes
Accepted

Which movies have the most realistic artificial intelligence?

Just A Rather Very Intelligent System (J.A.R.V.I.S.) in Iron Man (and related films, such as The Avengers) is something (a personal assistant) that people are already trying to develop, so JARVIS is a ...
nbro's user avatar
  • 40.5k
3 votes
Accepted

How to describe an keras Model in a scientific report

Some other details you could mention are: total number of model parameters (e.g. 1.2M or 0.15M) & depth of the network (e.g. 38-layered network) family/style of the network architecture (e.g. ...
Balraj Ashwath's user avatar
3 votes

What are the mathematical prerequisites for an AI researcher?

As far as simple algorithms like Gradient Descent are concerned, you need to have a good grasp of partial derivatives. Especially if you want to implement neural networks. Also most algorithms are ...
pranav's user avatar
  • 191
3 votes

What is artificial intelligence?

What is artificial intelligence? This question is ambiguous. I will address the two less ambiguous but related questions. What is the goal of the AI field? What is an artificial intelligence? What ...
nbro's user avatar
  • 40.5k
3 votes

How can I read any AI paper?

I think the answer depends very much on why you are reading the paper, what are you trying to get out of it? There are plenty of papers that I "read" (or often really just quickly skim ...
Dennis Soemers's user avatar
  • 10.3k
3 votes

How much C++ is needed for research in machine learning and artificial intelligence?

Of course, whether or not you will need to know and use C++ depends on the topics you will research during your Ph.D. or job. If you'll need just to use and/or combine some existing ML models (yes, in ...
nbro's user avatar
  • 40.5k
3 votes

How should I read a deep learning paper?

I have some experience reading research papers. However, in my view, there is no single answer to this question (apart from this answer I am giving you, i.e. "it depends"). The answer to ...
nbro's user avatar
  • 40.5k
3 votes

Why would an AI researcher publish their breakthrough models solely on arxiv?

Why would an AI researcher publish their breakthrough models solely on arxiv? Unwilling to spend on going through peer review process and other constraints such as page limits. Even though experts ...
Franck Dernoncourt's user avatar
2 votes

What is artificial intelligence?

According to the book Artificial Intelligence: A Modern Approach (section 1.1), artificial intelligence (AI) has been defined in multiple ways, which can be organized into 4 categories. Thinking ...

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