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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower
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threatened species and ecosystems, and to control invasive species and diseases. This requires a step-change in the data and methods used to monitor and predict organism behaviours and ultimately shifts in
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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are offered to graduate students, predoctoral students, and postdoctoral and senior investigators to conduct independent research. For information about eligibility and selection criteria and application open
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Australian university. For information about eligibility and selection criteria and application open and closing dates, see: Neville Bonner Memorial Scholarship | The Australian National University (anu.edu.au
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new approaches for a playful human-computer integration future. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.
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fee scholarships available for varying amounts, from $5000 to full coverage of residential fees. For information about eligibility, selection and application requirements, refer to Trinity College
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on their location or textual information. The aim of this project is to build a next-generation navigation system by addressing limitations in the current systems – such as allowing more meaningful distance measures