AI of Things Cycling in the city? Analysing Cyclist Safety in Madrid with Excel Written by Paloma Recuerdo, original post in Spanish In this post we will see an example of how we can perform simple descriptive analytics on a set of data, without...
AI of Things How much do London firefighters spend on saving helpless kittens? The Open Data answers Original post in Spanish by Paloma Recuerdo In this second post, a continuation of “Smart Cities: Squeezing Open Data with Power BI”, we will analyse the problem and understand the measures...
AI of Things Smart Cities: Pushing Open Data with Power BI In this article, which will consist of two posts, we will talk about Smart Cities and how they can use their data to be more “smart.” We will work...
Florence Broderick Quick and dirty shellcode to binary python script https://google-code-prettify.googlecode.com/svn/loader/run_prettify.js If you work with exploits and shellcode, you already know what shellcode is and how to deal with it. Sometimes it comes with exploits in C, Perl, Python…...
AI of Things 5 AI uses in Photography On our blog, we enjoy sharing the applications of Big Data and Artificial Intelligence in sectors that may surprise you. Previously, in “Dining with Data” we saw how customers...
AI of Things Coca-Cola’s use of AI to stay at the top of the drinks market Coca-Cola is the largest beverage company in the world serving over 1.9 billion drinks daily across its 500 brands. Being such a large conglomerate active in so many countries...
Beatriz Sanz Baños Barriers to IoT adoption Internet of Things is constantly growing. There are more and more objects in our familiar environments that work connected through the network. It makes our everyday activities easier in...
Olivia Brookhouse Can Artificial Intelligence understand emotions? When John McCarthy and Marvin Minsky founded Artificial Intelligence in 1956, they were amazed how a machine could perform incredibly difficult puzzles quicker than humans. However, it turns out...
Santiago Morante Cendrero Warning About Normalizing Data For many machine learning algorithms, normalizing data for analysis is a must. A supervised example would be neural networks. It is known that normalizing the data being input to...
