Ocean Energy


Emerging Technologies That Will Play A Part In Our Future - ETHOZ

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In a slightly disconcerting vision of things that may come to pass, transmission of brain waves through the Internet to manipulate devices was demonstrated in a study in 2014. Synaptic Interface – Taking it a step further, images are directly projected into a viewer's brain. Kymogen Wave Energy Generator – A low cost, clean method of producing energy from the constant power of oceanic waves is the promise of the Kymogen Wave Energy Generator. Orbital Solar Energy Harvesters – Solar power is nothing new but the wireless power transmission of energy from a solar energy collecting satellite is ground breaking.


Understand the next wave of technology with this four-course package on AI (91% off)

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You'll receive these courses in your bundle: Deep Learning: Convolutional Neural Networks in Python: Convolutional Neural Networks (CNNs) are the engine behind image recognition…find out how it works. Unsupervised Deep Learning in Python: Learn about encoders that process, then reassess information to find new connections to make computers even smarter. Natural Language Processing with Deep Learning in Python: Explore advanced natural language processing, the computer science and AI study that links computer and human languages. Natural Language Processing with Deep Learning in Python: Explore advanced natural language processing, the computer science and AI study that links computer and human languages.


PhD in Computer Science: Development of machine learning techniques for the modelling of the sea's surface shape from video observations, with the aim of improving the safety of maritime operations and the power output of wave energy converters at University of Exeter

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The safety of critical maritime operations and the power output of wave energy converters can both be improved by measuring and predicting the shape and motion of sea waves. You will join a growing machine learning group at Exeter, working directly with Dr Jacqueline Christmas in collaboration with Prof Michael Belmont. For informal enquiries about the project, please contact Dr Jacqueline Christmas, J.T.Christmas@exeter.ac.uk. You should have strong programming skills, an aptitude for mathematics, and an enthusiasm for research into image processing and machine learning.