Making sense of mobile network traffic using deep learning– Paul Patras, Edinburgh
Committing to smart cities
The city is the future. By 2050, more than two-thirds of the planet’s 10 billion people will live in urban centres, according to the United Nations. The COVID-19 pandemic has shone a spotlight on some of the issues faced in the cities of today. So, we had better drag our cities into the 21st century, and fast. Will we be able to build truly safe and resilient systems for our citizens? How will we handle the explosion in urban data? From smart cities to the use of deep learning to make sense of mobility data, we invite you to join us as we spotlight four fascinating pieces of research that will highlight the future of urban analytics.
Видео Making sense of mobile network traffic using deep learning– Paul Patras, Edinburgh канала The Alan Turing Institute
The city is the future. By 2050, more than two-thirds of the planet’s 10 billion people will live in urban centres, according to the United Nations. The COVID-19 pandemic has shone a spotlight on some of the issues faced in the cities of today. So, we had better drag our cities into the 21st century, and fast. Will we be able to build truly safe and resilient systems for our citizens? How will we handle the explosion in urban data? From smart cities to the use of deep learning to make sense of mobility data, we invite you to join us as we spotlight four fascinating pieces of research that will highlight the future of urban analytics.
Видео Making sense of mobile network traffic using deep learning– Paul Patras, Edinburgh канала The Alan Turing Institute
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12 ноября 2020 г. 20:22:32
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