Information Policy

Smart Cities Need Local Democracy

arcelona’s streets are studded with sensors and responsive systems. Street lights, garbage cans, power metres, parking spots, park landscaping and public transit fit into the city’s “smart” environment, helping to manage everything from congested streets to service delivery. And, while the city is teeming with technology, it hasn’t strayed from strong, local, democratic governance of data.

Continue reading "Smart Cities Need Local Democracy" »

Posted at 07:33 AM in Open Source / Open Data, Smart City | Permalink

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By Tim Sandle   

 

Michael Fauscette, from G2 Crowd, has raised concerns about the privacy issues of ambient intelligence in the growing smart cities. What does privacy mean in a city where our location, our actions, even our intentions are being tracked and recorded?

 

Continue reading "Privacy concerns for living in the smart city " »

Posted at 11:02 AM in Open Source / Open Data, Privacy/Security , Smart City | Permalink

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Introduction

The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach.

But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your newly acquired skills.

If you have faced this problem, we have a solution for you. We have curated a list of openly available datasets for your perusal.

In this article, we have listed a collection of high quality datasets that every deep learning enthusiast should work on to apply and improve their skillset. Working on these datasets will make you a better data scientist and the amount of learning you will have will be invaluable in your career. We have also included papers with state-of-the-art (SOTA) results for you to go through and improve your models.

Brno launched an online platform for open data at data.brno.cz, one of the first cities in the Czech Republic to do so. This platform is designed to be used by the public and will also help students and professionals. Besides data-sets, people can find useful apps as well as articles about data, the platform and other helpful tips. The interactive apps that uses the data from city are the most popular tools on the website. People can see for example a map of car accidents in the city or they can compare orthophotos of the city taken at different points in time.

More and more local government agencies are turning to open data and Location Intelligence to optimize current services while also preparing more sustainable solutions in light of anticipated obstacles stemming from increased urban migration, climate change, and an aging population.

Privacy concerns for living in the smart city

By Tim Sandle   

 

Michael Fauscette, from G2 Crowd, has raised concerns about the privacy issues of ambient intelligence in the growing smart cities. What does privacy mean in a city where our location, our actions, even our intentions are being tracked and recorded?

 

Continue reading "Privacy concerns for living in the smart city " »

Posted at 11:02 AM in Open Source / Open Data, Privacy/Security , Smart City | Permalink

Reblog (0) | | | | | Digg This | Save to del.icio.us

Introduction

The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach.

But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your newly acquired skills.

If you have faced this problem, we have a solution for you. We have curated a list of openly available datasets for your perusal.

In this article, we have listed a collection of high quality datasets that every deep learning enthusiast should work on to apply and improve their skillset. Working on these datasets will make you a better data scientist and the amount of learning you will have will be invaluable in your career. We have also included papers with state-of-the-art (SOTA) results for you to go through and improve your models.

Brno launched an online platform for open data at data.brno.cz, one of the first cities in the Czech Republic to do so. This platform is designed to be used by the public and will also help students and professionals. Besides data-sets, people can find useful apps as well as articles about data, the platform and other helpful tips. The interactive apps that uses the data from city are the most popular tools on the website. People can see for example a map of car accidents in the city or they can compare orthophotos of the city taken at different points in time.

More and more local government agencies are turning to open data and Location Intelligence to optimize current services while also preparing more sustainable solutions in light of anticipated obstacles stemming from increased urban migration, climate change, and an aging population.

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Introduction

The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach.

But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your newly acquired skills.

If you have faced this problem, we have a solution for you. We have curated a list of openly available datasets for your perusal.

In this article, we have listed a collection of high quality datasets that every deep learning enthusiast should work on to apply and improve their skillset. Working on these datasets will make you a better data scientist and the amount of learning you will have will be invaluable in your career. We have also included papers with state-of-the-art (SOTA) results for you to go through and improve your models.

New open data platform in Brno

Brno launched an online platform for open data at data.brno.cz, one of the first cities in the Czech Republic to do so. This platform is designed to be used by the public and will also help students and professionals. Besides data-sets, people can find useful apps as well as articles about data, the platform and other helpful tips. The interactive apps that uses the data from city are the most popular tools on the website. People can see for example a map of car accidents in the city or they can compare orthophotos of the city taken at different points in time.

40 Brilliant Open Data Projects Preparing Smart Cities for 2018

More and more local government agencies are turning to open data and Location Intelligence to optimize current services while also preparing more sustainable solutions in light of anticipated obstacles stemming from increased urban migration, climate change, and an aging population.