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While previously instructions had to be coded into a computer, machine learning, a 1980's innovation, gave a system broad instructions which it could use to make snap judgments.
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Better speech-based error correction for dictation tools; how to check errors in a quantum computer; machines learn to analyze brain activity.
Computer machine-learning algorithms continue to be developed to facilitate tumour diagnosis (detection and localisation), segmentation (automated and semi-automated), and feature extraction on MRI.
The computer engineering machine learning community has begun to develop algorithms that allow collections of agents to learn to cooperate and compete with one another [26, 27].
Nevertheless, Havlíček and colleagues' work presents an intriguing proof-of-principle demonstration of a potentially revolutionary way of using quantum computers for machine learning.
His research revolves around the intersections between computational design, computer vision and machine learning.
Interest in computer vision / machine learning history is a bonus.
I work in image processing, computer vision and machine learning.
His research focus is on computer vision and machine learning.
Carl Vondrick's research focuses on computer vision and machine learning.
I am mainly interested in computer vision and machine learning.
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