"The science and engineering of making intelligent machines"
Our teams are focused on developing leading-edge Artificial Intelligence solutions in a number of areas. Some of these include:
Artificial Neural Networks.
A rapidly growing trend in Machine Learning where the target functions are incredibly complex, and the data sets equally large, deep learning neural networks are faster and more accurate than ever before.
Deep Learning is the application of Neural Networks with many hidden layers, working much like a human brain. The depth of these neural networks allow them to construct increasingly abstracted feature hierarchies, each subsequent layer acting as filters for more complex features in other layers.
Because they can "learn" by working with unsupervised data (which constitutes the majority of data in the world) deep neural networks can become more accurate than traditional machine learning algorithms that are unable to handle unsupervised data.
Distributed computing for AI
Breakthrough technologies require the most powerful computing environments available. Our systems require GPU and CPU computing power located around the globe, capable of rapidly scaling to support any problem our engineers need to solve.
Computers Understanding Humans
NLP is a vital component of Artificial Intelligence, concerned with the interactions between computers and natural human languages. Modern NLP algorithms are based on machine learning, especially statistical machine learning.
Intelligent Planning
Computer vision includes methods for acquiring, processing, analyzing, understanding images, video and high-dimensional data from the "real world". These methods are vital to many applications of Artificial Intelligence.
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