AI History
In 2020, this AI made revolutionary progress on the protein folding problem, achieving a median score of 92.4/100.
What is AlphaFold 2?
This video game series features an AI that is now a virtual assistant built into the Windows operating system.
What is Halo?
This popular search engine uses vector similarity search to identify images that are similar to a piece of content.
What is Google Images Search?
This is anything that perceives its environment and takes actions autonomously to pursue its goals.
What is an (Intelligent) Agent?
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In 1980, Fukushima's "Neocognitron" first introduced this type of neural network layer.
What is Convolutional layer?
2001: A Space Odyssey tells the story of this AI and was inspired by predictions made by AI researchers at the time.
What is HAL 9000?
IBM's DeepBlue employed alpha-beta search to beat world champion Garry Kasparov at this game.
What is Chess?
This occurs when a model fits a particular set of data too well, and is therefore less generalizable.
What is Overfitting?
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In 1805, this mathematician developed the least squares method, which is the basis of much statistical modeling.
What is Legendre?
This AI defeated two long-time champions on the quiz-show Jeopardy.
What is IBM Watson?
This computer vision task consists of identifying bounding boxes for items in an image.
What is Localization?
This stochastic model is used to describe a sequence of events in which the probability of the current event depends only on the previous event.
What is Markov process/Markov chain?
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In 1965, experts met at a conference at this university and established "Artificial Intelligence" as a field of research.
What is Dartmouth?
This author first wrote about "Three Laws of Robotics", which are now seen throughout pop culture.
Who is Isaac Asimov?
Modern approaches to neural machine translation use this approach, which learns mappings between different types of sequences.
What is seq2seq?
This dimensionality reduction technique identifies a set of orthogonal vectors that best represent the data, by finding the eigenvectors of the data's covariance matrix.
What is Principal component analysis?
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lana decides if she agrees or not
In 2007, the Grand Challenge sponsored by this government agency had competitors design self-driving vehicles that could navigate a 60 mi. urban area course.
What is DARPA?
In this movie, the computer, WOPR, famously states "A strange game. The only winning move is not to play." after playing tic-tac-toe against itself numerous times.
What is WarGames?
This class of self-supervised neural networks, which learn to reconstruct their input, perform poorly on anomalies and can therefore be used for anomaly detection.
What are Autoencoders?
The ResNet paper introduced an effective solution to this problem that is frequently encountered when training very deep neural networks with gradient-based learning methods.
What is Vanishing gradient problem?
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2023